SUDA-HLT - 用户贡献 [zh-cn]

Nlpcc-2019-shared-task

2020-05-21T06:34:27Z

Xpeng：/* 数据使用协议 */

== News （最新消息） ==
* 2019.6.24：发布最新测试数据（有答案）
* 2019.5.15：发布最新测试数据（无答案）
* 2019.5.20：提交结果deadline

== NLPCC-2019依存句法分析领域移植评测 ==
* [http://tcci.ccf.org.cn/conference/2019/cfpt.php NLPCC-2019评测页面]
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/cfp-v2.0.pdf 我们的参赛邀请函pdf]

== 汉语开放依存句法树库（CODT）标注情况介绍 ==
* [http://hlt.suda.edu.cn/index.php/CODT 网址]

==数据使用协议==

* [http://hlt.suda.edu.cn/~zhli/codt/codt-sharing-agreement.pdf 标注数据使用协议下载]（团队负责人签字，如果是公司，必须是公司法人签字）
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/alibaba-unlabeled-data-share-2019.4.4.doc 无标注数据使用协议下载] (机构、学院、学校或公司盖章）
* 请仔细阅读两个协议，并根据要求签署两个协议，然后统一发邮件给周明月同学
* 请用机构的官方邮箱发送协议
** 由于版权保护问题，我们只面向机构、单位等团体开放数据；对于公司，我们仅面向从事句法分析研究的公司开放数据，签署协议前请先咨询我们是否有可能共享数据；解释权归我们课题组。
** 如果您不需要无标注数据，那么只需要签署标注数据使用协议。
* 您还需要将[http://tcci.ccf.org.cn/conference/2019/dldoc/SharedTaskRegistrationForm.docx NLPCC评测报名表]发送给NLPCC评测组织方，也请同时发给周明月同学。

== 评测数据下载 ==
* [http://hlt.suda.edu.cn/index.php/Nlpcc-2019-shared-task-Readme 数据说明Readme]
* 训练集/开发集/无标注数据
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/train_dev_2019.4.8.zip 训练集开发集数据下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/unlabeled_2019.4.8.zip 无标注数据下载]
** 解压密码，我们收到数据使用协议后回复邮件告知
* 测试集数据 
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_2019.5.15.zip 无答案测试集数据下载]
*** 无答案测试集密码与“训练集开发集数据”解压密码相同
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_answer_2019.6.24.zip 有答案测试集数据下载]
* 预训练词向量下载：我们分别提供了50维、100维、300维的预训练词向量：
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding50.zip 50维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding100.zip 100维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding300.zip 300维下载]

== 结果提交（2019.5.25 deadline） ==
*请在2019年5月25日23：59之前提交您的最终结果，您在提交时请注意以下几点
** 测试结果文件请参考 Dev 数据及 Readme，确保每个文件严格采用 CoNLL 格式；
** 测试结果文件中除了包含原有的信息外，还需要在对应列给出您预测出的对应词的核心词head及其依存关系标签label；
** 提交结果时，请将所有测试结果文件打包成一个压缩文件后（zip/tar.gz）发送给彭雪同学（xpeng1117@qq.com），压缩文件的名字为 “队伍名.tar.gz”或“队伍名.zip”，队伍名为英文；
** 压缩文件内请严格按照如下目录/文件命名和组织形式（没有参加的子任务忽略即可），方便我们后续处理：
*** subtask1-un-closed/PC-Test.out.conll
*** subtask1-un-closed/PB-Test.out.conll
*** subtask1-un-closed/ZX-Test.out.conll
*** subtask2-semi-closed/PC-Test.out.conll
*** ...
*** subtask3-un-open/PC-Test.out.conll
*** ...
*** subtask4-semi-open/PC-Test.out.conll
*** ...
** 对于任何一个子任务，所有参赛队伍必须提交PC、PB、ZX 3 个目标领域的测试结果。

== 评测结果 ==
*每个subTask的Average_LAS 为对应subtask下3个领域数据LAS的平均值,Average_LAS = (PC_LAS+PB_LAS+ZX_Las)/3
*我们根据Average_LAS 排名，每个subtask的第一名已用红色 标出
*所有参加本次评测的单位都可以撰写“系统报告”文章，结果好的单位“系统报告”文章可以直接按照nlpcc投稿格式撰写，其他的单位也请务必简单的撰写一份report，描述您参加比赛时，使用方法的详细介绍。请大家尽快写完并以PDF格式发到彭雪邮箱（654905417@qq.com）。

*所有的参赛单位不论是否写评测论文，都需要提交一份简要的报告,介绍清楚评测中使用的方法。一方面我们需要确保您使用的方法符合我们的任务要求，另一方面我们提交overview文章时需要使用。请大家在6月20日前以PDF形式提交到彭雪邮箱

{| class="wikitable" style="text-align: center;"
|-
!
! colspan="4" | subtask1-un-closed|| colspan="4" | subtask2-semi-closed || colspan="4" | subtask3-un-open || colspan="4" | subtask4-semi-open
|-
!
! PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS 
|-
| SJ_superLZ ||35.6296/21.3299 ||62.5491/54.3544||50.0359/38.3082||37.9975 ||69.8770/59.4298||77.5249/71.3260||77.8376/71.5517||67.4358||72.0100/63.8807||80.2464/75.7409||82.1659/77.4425||72.3547||72.4018/64.3704||80.7907/76.1340||83.1537/78.6099||73.0381
|-
| SJ_superLZ(更新subtask3、4) || - || - || - || - || - || - || - || - || 60.50/49.49 ||81.61/76.77||79.74/74.32||66.86||75.25/67.77||85.53/81.51||86.14/81.65||76.98
|-
| PRIS_DP ||39.8193 /26.2705 ||67.3118 /60.4097 ||69.5582 /61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141 ||39.8193/26.2705 || 67.3118 /60.4097 ||69.5582/61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141
|-
|SyntaxError ||49.8204/36.8593||71.4772/65.4294 ||73.9045/66.5409 ||56.2765||72.1841/64.1201||82.5748/77.8273||80.5316/75.8441||72.5972|| || || || || || || ||
|-
| AntNLP ||43.6391/30.4712 ||70.5020/63.8343 ||72.8807/65.0682 ||53.1246 ||72.2277/63.9569 ||81.9398/77.2679 ||79.8851/74.8024 ||72.0091|| || || || || || || ||
|-
| 14yhl9days ||26.7167/10.9152 ||41.4953/27.3813 ||40.4454/26.4368 || 21.5778 ||47.3827/26.2597 ||47.2558/32.8772 ||45.4023/32.0043 ||30.3804|| || || || || || || ||
|-
| BLCU_Parser || || || || ||70.8891/61.7151 ||79.3015/74.2516 ||77.8376 /72.5754||69.5140|| || || || || || || ||
|-
| Nanjing Normal University || || || || || || || || || || || || ||70.9653/61.8239 ||80.5866/75.8542||79.3283/74.3534||70.6772
|-
|}

== 评价脚本下载 ==
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/evaluate.py 评价脚本下载]
** 执行命令：python3 evaluate.py gold.conll sys.conll
** 数据集需要为CoNLL格式，与我们提供的数据集格式相同。

Projects

2020-03-31T03:41:42Z

Xpeng：

Suda-HLT主要项目

== LAGroup（语言分析小组） ==

作为自然语言处理基础研究，苏州大学自然语言分析技术的目标是精准分析句子的词法和句法信息，以支持各种应用需求。我们的技术主要有几个特点：1）采用目前行业领先的多种机器学习技术，包括传统的基于离散特征的方法和深度学习方法，以提高分析性能，同时兼顾效率；2）基于我们做出的面向多源异构数据融合的一系列工作，充分利用现有的各种人工标注数据，提高模型的分析能；3）采用我们提出的基于局部标注表示的统一框架，允许训练数据只包含局部标注信息，从而充分利用各种弱标注数据，也可以将先验知识转化为弱标注信息，从而对模型解码过程进行直接约束；4）我们不断针对多源网络文本，进行人工标注，不断增加高质量训练数据。

基于以上技术，我们搭建了一个稳定、高准确率、高效率的[http://hlt-la.suda.edu.cn/ 汉语理解平台]，从而实现技术不断积累和沉淀，目前已经向阿里、科沃斯、狗尾草等公司提供服务。同时，为了支持人工数据标注工作，我们也搭建了一个[http://139.224.234.18/anno-sys 数据标注平台]，采用局部标注、严格双人标注、专家审核等形式，我们发现可以最大限度降低数据标注管理者的工作，同时也可以在降低人力成本和提高数据质量之间获得平衡。

* 汉语开放依存树库构建：[http://hlt.suda.edu.cn/index.php/CODT CODT]
* 词语关系网络构建（目前关注上下位关系） [http://hlt.suda.edu.cn/index.php/word-net 基于多源信息的词语上下位关系网络构建]

== KG(知识图谱) ==
* 情感知识构建
* 中文实体情感知识库 [[SentiBridge]]
* 电商情感词典[[ECSD]]

* 知识图谱构建

== MT ==

Papers

2019-12-12T13:11:54Z

Xpeng：/* 2017 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==

* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B]

* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]

* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]

* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF]

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]

* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]

* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]

* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]

* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]

* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF]

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF]

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF]

== 2016 ==

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF]

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF]

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF]

== 2015 ==
*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]
*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF]

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF]

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF]

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF]

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T13:10:38Z

Xpeng：/* 2015 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==

* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B]

* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]

* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]

* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF]

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]

* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]

* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]

* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]

* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]

* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF]

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China

== 2016 ==

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF]

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF]

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF]

== 2015 ==
*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]
*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF]

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF]

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF]

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF]

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T13:05:52Z

Xpeng：/* 2014 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==

* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B]

* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]

* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]

* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF]

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]

* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]

* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]

* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]

* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]

* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF]

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China

== 2016 ==

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF]

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF]

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF]

== 2015 ==
*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF]

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF]

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF]

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF]

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T13:05:25Z

Xpeng：/* 2015 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==

* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B]

* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]

* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]

* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF]

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]

* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]

* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]

* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]

* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]

* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF]

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China

== 2016 ==

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF]

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF]

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF]

== 2015 ==
*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF]

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T13:04:33Z

Xpeng：/* 2016 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==

* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B]

* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]

* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]

* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF]

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]

* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]

* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]

* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]

* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]

* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF]

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China

== 2016 ==

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF]

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF]

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF]

== 2015 ==
*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T13:03:39Z

Xpeng：/* 2017 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==

* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B]

* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]

* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]

* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF]

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]

* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]

* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]

* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]

* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]

* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF]

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China

== 2016 ==

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T13:03:00Z

Xpeng：/* 2018 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==

* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B]

* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]

* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]

* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF]

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]

* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]

* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]

* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]

* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]

* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T13:00:13Z

Xpeng：/* 最新录用 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==

* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B]

* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]

* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]

* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF]

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T12:57:57Z

Xpeng：/* 2015 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF]
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（资助信息: NSFC, 61876116, 61525205, 61572338 和 Alibaba-Suda）
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013). [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF](资助信息: NSFC, 61525205, 61876116)
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF](资助信息: NSFC, 61525205, U1836222, 61672211)

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T12:57:23Z

Xpeng：/* 2016 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF]
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（资助信息: NSFC, 61876116, 61525205, 61572338 和 Alibaba-Suda）
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013). [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF](资助信息: NSFC, 61525205, 61876116)
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF](资助信息: NSFC, 61525205, U1836222, 61672211)

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T12:53:28Z

Xpeng：/* 2018 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF]
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（资助信息: NSFC, 61876116, 61525205, 61572338 和 Alibaba-Suda）
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013). [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF](资助信息: NSFC, 61525205, 61876116)
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF](资助信息: NSFC, 61525205, U1836222, 61672211)

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T12:52:06Z

Xpeng：/* 2019 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF]
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（资助信息: NSFC, 61876116, 61525205, 61572338 和 Alibaba-Suda）
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013). [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF](资助信息: NSFC, 61525205, 61876116)
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF](资助信息: NSFC, 61525205, U1836222, 61672211)

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-12-12T12:51:35Z

Xpeng：/* 最新录用 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF]
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（资助信息: NSFC, 61876116, 61525205, 61572338 和 Alibaba-Suda）
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013). [https://www.ijcai.org/proceedings/2019/0704.pdf PDF]
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF](资助信息: NSFC, 61525205, 61876116)
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF](资助信息: NSFC, 61525205, U1836222, 61672211)

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T03:17:55Z

Xpeng：/* 最新录用 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116, 61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（资助信息: NSFC, 61876116, 61525205, 61572338 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF](资助信息: NSFC, 61525205, U1836222, 61672211)

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T03:10:20Z

Xpeng：/* 最新录用 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116, 61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF](资助信息: NSFC, 61525205, U1836222, 61672211)

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T03:08:56Z

Xpeng：/* 最新录用 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF]( 资助信息: NSFC, 61525205, U1836222, 61672211)

* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T03:01:23Z

Xpeng：/* 最新录用 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhang-naacl-2019.pdf PDF](
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:46:41Z

Xpeng：/* 2014 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
*Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen. 2014. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2014. 22(1), pp. 274-286.[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-taslp14.pdf PDF](资助信息：NSFC 61203314,61373095,61133012; the National “863” Major Projects 2011AA01A207; the National “863” Leading Technology Research Project 2012AA011102)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Soft Cross-lingual Syntax Projection for Dependency Parsing. Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014), pp. 783-793. Dublin, 23-29 Aug. 2014[C][http://hlt.suda.edu.cn/~zhli/papers/zhenghua-coling14.pdf PDF] (资助信息：NSFC 61373095, 61203314, 61373097)

*Zhenghua Li, Min Zhang, Wenliang Chen. 2014. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-2014), pp. 457-467. Baltimore, 22-27 June 2014[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl14.pdf PDF] (资助信息：NSFC 61373095, 61333018)

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:43:11Z

Xpeng：/* 2016 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C][https://www.aclweb.org/anthology/C16-1202.pdf PDF] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:41:57Z

Xpeng：/* 2016 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:41:47Z

Xpeng：/* 2016 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-emnlp-2016-submission.pdf PDF] (资助信息: NSFC 61525205, 61502325, 61432013)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016[C] [http://hlt.suda.edu.cn/~zhli/acl-2016-resources/zhenghua-acl2016-camera-ready.pdf PDF] (资助信息: NSFC 61502325, 61525205, 61572338, the National Basic Research Program of China, 2014CB340505)

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J] (资助信息：NSFC 61572338, 61432013, 61525205, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C] (资助信息：NSFC 61572338, 61502325, 61373095, Collaborative Innovation Center of Novel Software Technology and Industrialization, the Human Centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapores A*STAR)

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:35:42Z

Xpeng：/* 2017 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J] (资助信息：NSFC 61572338, 61525205, 61272376, Singapore MOE 2012-T2-2-163, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. 2016. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM-TASL [J]). 2017. 25(3), pp. 557-571.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua-ieee17-coupled-pos.pdf PDF](资助信息：National Natural Science Foundation of China under Grant 61525205, Grant 61572338, and Grant 61432013, CCF-Tencent Open Research Fund (AGR20160111).)

* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp. 49-58. Taiwan, Nov. 27 - Dec. 1, 2017[C] [http://aclweb.org/anthology/I/I17/I17-1006.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325).)

* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp. 703-714. Copenhagen, Denmark, 7-11 Sept. 2017[C] [http://hlt.suda.edu.cn/~zhli/papers/chen-d17-mws.pdf PDF](资助信息：National Natural Science Foundation of China (Grant No. 61525205, 61373095, 61502325))

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:32:18Z

Xpeng：/* 2018 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:31:51Z

Xpeng：/* 2018 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 [ttp://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:31:24Z

Xpeng：/* 2018 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 ]http://hlt.suda.edu.cn/~zhli/papers/lrec-2018-ner.pdf PDF](资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:27:01Z

Xpeng：/* 2015 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 (资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:26:35Z

Xpeng：/* 2015 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](（资助信息: NSFC，61525205, 61876116, 61702518）和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 (资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
*Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang. 2015. Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. Proceedings of the 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2015), pp. 495-506. Nanchang, 9-13 Oct. 2015[C] [http://hlt.suda.edu.cn/~zhli/papers/jiayuan-nlpcc15-coupled-weibo.pdf PDF] （资助信息：NSFC 61432013, 61273319； Jiangsu Planned Projects for Post-doctoral Research Funds 1401075B）

*Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp. 1783-1792. Beijing, 26-31 July 2015[C] [http://aclweb.org/anthology/P/P15/P15-1172.pdf PDF]（资助信息：NSFC 61432013,61203314; Planned Projects for Postdoctoral Research Funds 1401075B; Collaborative Innovation Center of Novel Software Technology and Industrialization of Jiangsu Province ）

*高恩婷, 巢佳媛, 李正华. 2015. 面向词性标注的多资源转化研究. 北京大学学报(自然科学版). 2015, 51(2):328-334 (NLPCC 2014优秀论文转投)[J] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-peking15-pos.pdf PDF](资助信息：NSFC 61373095,61273319; 江苏省博士后基金 1401075B; 江苏省自然科学基金青年基金 BK20140355)

* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:23:16Z

Xpeng：/* 2016 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]](资助信息: 国家自然科学基金(61525205, 61876116, 61702518)和江苏高校优势学科建设工程资助项目)
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 (资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang. Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. In Proc. of the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC-2016), pp711-721. Kunming, 2-6 Dec. 2016[C] [http://hlt.suda.edu.cn/~zhli/papers/qingrong-nlpcc-2016-word-seg-weibo.pdf PDF] (资助信息: NSFC 61502325, 61432013, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520031)

* Ziwei Fan, Zhenghua Li, Min Zhang. Finding Arguments as Sequence Labeling in Discourse Parsing. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2016) shared task, pp. 150-157. Berlin, Germany, 11-12 Aug. 2016[C] [http://aclweb.org/anthology/K/K16/K16-2021.pdf PDF] (资助信息: NSFC 61502325, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB520031)

*Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang, Building Powerful Dependency Parsers for Resource-Poor Languages. In Proc. of NLPCC-2016, pp27-38, LNAI 10102[C] (资助信息：NSFC 61373095, 61572338, 61502325, Collaborative Innovation Center of Novel Software Technology and Industrialization)

* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:17:11Z

Xpeng：/* 2018 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]]
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 (资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF] (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:13:55Z

Xpeng：/* 2018 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]]
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018 (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen and Min Zhang. M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains, Proceedings of LREC-2018, pp4458-4461, Japan, May 2018 (资助信息：NSFC 61572338, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:11:36Z

Xpeng：/* 2018 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]]
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018 (资助信息：NSFC 61572338, 61525205, the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJA520001)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T02:09:45Z

Xpeng：/* 最新录用 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
* Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, and Min Zhang. 2019. SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL-2019) shared task, pp. 149-157. Hong Kong, China, 3-7 Nov. 2019[http://hlt.suda.edu.cn/~zhli/papers/zhangyue_conll19_semantic.pdf PDF](资助信息: )
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]]
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019. [https://www.aclweb.org/anthology/S19-2002/ PDF]
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T01:58:45Z

Xpeng：/* 2018 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]]
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019.
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==

* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* 凡子威, 李正华, 张民. 2018. 基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类篇章分析. 计算机科学. 2019, 46(5):214-220 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61525205，61876116）
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T01:57:01Z

Xpeng：/* 大标题文字 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]]
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019.
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==
* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T01:56:39Z

Xpeng：/* 2019 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]]
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019.
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 大标题文字 ==
== 2019 ==
* 朱运, 李正华, 黄德朋, 张民. 2019.基于弱标注数据的汉语分词领域移植. 中文信息学报. 2019, 33 (9): 1-8 [http://hlt.suda.edu.cn/~zhli/papers/zhuyun-cip19-wordseg.pdf PDF]（资助信息：NSFC，61525205，61876116）
* 郭丽娟, 彭雪, 李正华, 张民. 2019. 面向多领域多来源文本的汉语依存句法树库构建. 中文信息学报. 2019, 33(2):34-42 [http://hlt.suda.edu.cn/~zhli/papers/ziwei-cs19-discourse.pdf PDF]（资助信息：NSFC，61876116，61673289）
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==
* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-26T01:33:24Z

Xpeng：/* 2018 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. 760-771. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Qingrong Xia, Zhenghua Li*, Min Zhang. A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling, Proceedings of EMNLP-2019, pp5385-5395, KongKong, China, Nov 3 -7, 2019. [B] (资助信息：NSFC 61525205, 61876116, 61432013, PAPD)
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. 2386-2395. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]]
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. 5067-5073. Macao, China, 10-16 Aug. 2019 (资助信息:61525205, 61876116, 61432013).
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019.
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==
* Xinzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp. 2706-2716. Melbourne, Australia. 15-20 Jul. 2018[C] [http://hlt.suda.edu.cn/~zhli/papers/zhenghua-acl18.pdf PDF]（资助信息： National Natural Science Foundation of China (Grant No. 61525205, 61502325 61432013）, Alibaba-Suda）
* 郭丽娟, 李正华, 彭雪, 张民. 2018. 适应多领域多来源文本的汉语依存句法数据标注规范. 中文信息学报. 2018, 32(10):28-35-52[http://hlt.suda.edu.cn/~zhli/papers/lijuan-jocip18-guideline.pdf PDF](资助信息：国家自然科学基金（61502325，61432013，61525205))
* 孙佳伟, 李正华, 陈文亮, 张民. 2018. Hypernym Relation Classification based on Word Pattern (基于词模式嵌入的词语上下位关系分类). Proceedings of the 7th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2018), pp. x-x, Hohhot（呼和浩特）, 中国, 26-30 Aug, 2018 [http://hlt.suda.edu.cn/~zhli/papers/jiawei-peking18-hyponym.pdf PDF](资助信息：国家自然科学基金(61502325, 61673289)、江苏省高校自然科学研究重大项目(16KJA520001)资助)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-25T01:58:03Z

Xpeng：/* 最新录用 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. xx-xx. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: Nlpcc2019-shared-task-overview.pdf | 带有封面目录PDF]](资助信息: NSFC, 61876116,61525205).
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. x-x. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]]
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. x-x. Macao, China, 10-16 Aug. 2019.
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019.
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==
* Xingzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. In Proceedings of ACL-2018 (Accepted)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-23T03:22:59Z

Xpeng：/* 最新录用 */

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. xx-xx. Dunhuang, China, 9-14 Oct. 2019.[[:媒体文件: Overview of the NLPCC 2019 Shared.pdf | PDF]][[:媒体文件: nlpcc2019-shared-task-overview.pdf | 带目录PDF]](资助信息: NSFC, 61876116,61525205).
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. x-x. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]]
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. x-x. Macao, China, 10-16 Aug. 2019.
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019.
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==
* Xingzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. In Proceedings of ACL-2018 (Accepted)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Papers

2019-11-21T06:59:51Z

Xpeng：

罗列文章包括：
* ACL EMNLP IJCAI AAAI COLING IJCNLP
* CCF-A/B Journal/Conference
* SCI Journal

== [http://hlt.suda.edu.cn/index.php/Papers-details 论文摘要等信息] ==

== 最新录用 ==
*Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si. 2019. Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing Proceedings of NLPCC-2019, pp. xx-xx. Dunhuang, China, 9-14 Oct. 2019.[http://hlt.suda.edu.cn/~zhli/papers/nlpcc19_shared_task_overview.pdf PDF][https://link.springer.com/content/pdf/10.1007%2F978-3-030-32233-5.pdf nlpcc2019论文集](资助信息: NSFC, 61876116,61525205).
* Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si. 2019. Semi-supervised Domain Adaptation for Dependency Parsing. Proceedings of ACL-2019, pp. x-x. Florence, Italy, 28 Jul. - 2 Aug. 2019.[http://hlt.suda.edu.cn/~zhli/papers/zhenghua_acl19_dp_2.pdf PDF]（（资助信息: NSFC, 61876116, 61525205, 61572338) 和 Alibaba-Suda）
* Bo Zhang, Zhenghua Li, Min Zhang. 2019. Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. Proceedings of ACL-2019, pp.456-465. Dunhuang, China, 13-14 Oct., 2019.[[:媒体文件: zhangbo-nlpcc2019.pdf | PDF]]
* 蒋炜, 李正华, 张民. 2019. Syntax-enhanced UCCA Semantic Parsing (句法增强的UCCA语义分析). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件: Jiangwei-peking20-ucca.pdf | PDF]]
* 黄德朋, 李正华, 龚晨, 张民. 2019. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations (基于神经耦合模型的异构词法数据转化和融合). Proceedings of the 8th International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019), Dunhuang（敦煌）, 中国, 13-14 Oct., 2019. 推荐发表至：北京大学学报（自然科学版）.[[:媒体文件:基于神经耦合模型的异构词法数据转化和融合.pdf | PDF]]
* Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si. 2019. Self-attentive Biaffine Dependency Parsing. Proceedings of IJCAI-2019, pp. x-x. Macao, China, 10-16 Aug. 2019.
* Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang. 2019. HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), pp. 11-15. Minneapolis, Minnesota, America, 6-7 Jun. 2019.
* Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang. 2019. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. Proceedings of NAACL-2019, pp. 1151-1161. Minneapolis, Minnesota, America, 2-7 Jun. 2019.
* Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si. 2019. Syntax-aware Neural Semantic Role Labeling. Proceedings of AAAI-2019, pp. x-x. Honolulu, Hawaii, America, 27 Jan. - 1 Feb. 2019.

== 2019 ==
* Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang. 2019. Syntax-aware Entity Representations for Neural Relation Extraction. Artificial Intelligence Journal.275(2019):602-617, October 2019.[https://doi.org/10.1016/j.artint.2019.07.004 online version]

== 2018 ==
* Xingzhou Jiang, Bo Zhang, Zhenghua Li, Min Zhang, Sheng Li, Luo Si. Supervised Treebank Conversion: Data and Approaches. In Proceedings of ACL-2018 (Accepted)
* Yachao Li, Junhui Li, Min Zhang. Adapted Weights for Neural Machine Translation. In Proceedings of COLING-2018, pp. 3038–3048, Santa Fe, New Mexico, USA, August 20-26, 2018[C]
* Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He and Min Zhang. Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning, Proceedings of COLING2018, pp.2159–2169, Santa Fe, New Mexico, USA, August 20-26, 2018[C] [https://github.com/rainarch/DSNER Code] [http://aclweb.org/anthology/C18-1183 PDF]
* Kai Song, Yue Zhang, Min Zhang, Weihua Luo. Improved English to Russian Translation by Neural Suffix Prediction, Proceedings of AAAI-2018, pp410-417, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03615 PDF]
* YaoSheng Yang, Meishan Zhang, Wenliang Chen*, Haofen Wang, Wei Zhang, Min Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, Proceedings of AAAI-2018, pp1627-1634, New Orleans, USA,Feb 2018[C] [https://arxiv.org/abs/1801.03603 PDF]
* Zhengqiu He, Wenliang Chen*, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, Proceedings of AAAI-2018, pp5795-5802, New Orleans, USA,Feb 2018[C] [http://arxiv.org/abs/1801.03603 PDF]

== 2017 ==
* Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Computational Intelligence Journal, 33(3):428-447, August 2017[J]
* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu. Coupled POS Tagging on Heterogeneous Annotations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(3):557-571, 2017[J]
* Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang. 2017. Multi-Grained Chinese Word Segmentation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), pp703-714, Copenhagen, Denmark,Sept 2017[C]
* Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang. 2017. Dependency Parsing with Partial Annotations: An Empirical Comparison. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), pp49-58. Taiwan, Nov.27-Dec.1, 2017[C]

== 2016 ==
* Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang. 2016.Active Learning for Dependency Parsing with Partial Annotation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), pp. 344-354. Berlin, 7-12 Aug. 2016

* Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting Meta Features for Dependency Parsing and Part-of-speech Tagging. Artificial Intelligence Journal, 230(2016):173-191, January 2016[J]

* Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang. Distributed Representations for Building Profiles of Users and Items from Text Reviews. In Proc. of the 26th International Conference on Computational Linguistics (COLING-2016), pp2143-2153, Osaka, 11-17 Dec. 2016[C]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang. 2016. Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-2016), pp753-762, Austin, Texas, USA, Nov 2016[C]

== 2015 ==
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

* Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen. 2015. Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-2015), pp1783-1792, Beijing, 26-31 July 2015
== 2014 ==
* Zhenghua Li, Min Zhang, Wenliang Chen. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL2014), pp457-467, Baltimore, June 2014

* Min ZHANG, Xiangyu Duan, Wenliang CHEN. Bayesian Constituent Context Model for Grammar Induction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):531-541, 2014[J]

* Zhenghua LI, Min ZHANG, Wanxiang CHE, Ting LIU, Wenliang CHEN. Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(1):274-286, 2014[J]

* Xiangyu Duan, Min Zhang, Qiaoming Zhu. Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp816-826, Dublin, Ireland, August 2014

* Zhenghua Li, Min Zhang, Wenliang Chen. Soft Cross-lingual Syntax Projection for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING2014), pp783-793, Dublin, Ireland, August 2014

== 2013 ==
* Min Zhang, Wenliang Chen*, Xiangyu Duan, and Rong Zhang. Improving Graph-based Dependency Parsing Models with Dependency Language Models. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASL), Vol.21, No.11, pp2313-2323 November 2013.

* Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu. Fast and Accurate Constituent Parsing. In Proc. of ACL2013, pp 434-443, Sofia, Bulgaria, August 2013.

* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.

* Wenliang Chen, Min Zhang, Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proc. of EMNLP2013, pp1303-1313, Seattle, Washington, USA, 18-21 October 2013.

== 更古老 ==

* 请查看各位成员的主页

== 参考格式 ==
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]
* Wenliang Chen, Min Zhang*, Yue Zhang. Distributed Feature Representations for Dependency Parsing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3):451-460, 2015[J]

会议格式：[作者列表]. [题目]. [In Proc. of 会议名], [起止页码], [地点], [会议时间][C]
* Wenliang Chen, Yue Zhang, Min Zhang*. Feature Embedding for Dependency Parsing. In Proc. of the 25th International Conference on Computational Linguistics (COLING-2014), pp816-826, Dublin, Ireland, August 2014[C]

录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用

Nlpcc-2019-shared-task

2019-10-04T07:40:53Z

Xpeng：/* 评测结果 */

== News （最新消息） ==
* 2019.6.24：发布最新测试数据（有答案）
* 2019.5.15：发布最新测试数据（无答案）
* 2019.5.20：提交结果deadline

== NLPCC-2019依存句法分析领域移植评测 ==
* [http://tcci.ccf.org.cn/conference/2019/cfpt.php NLPCC-2019评测页面]
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/cfp-v2.0.pdf 我们的参赛邀请函pdf]

== 汉语开放依存句法树库（CODT）标注情况介绍 ==
* [http://hlt.suda.edu.cn/index.php/CODT 网址]

==数据使用协议==

* [http://hlt.suda.edu.cn/~zhli/codt/codt-sharing-agreement.pdf 标注数据使用协议下载]（团队负责人签字，如果是公司，必须是公司法人签字）
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/alibaba-unlabeled-data-share-2019.4.4.doc 无标注数据使用协议下载] (机构、学院、学校或公司盖章）
* 请仔细阅读两个协议，并根据要求签署两个协议，然后统一发邮件给彭雪同学
* 请用机构的官方邮箱发送协议
** 由于版权保护问题，我们只面向机构、单位等团体开放数据；对于公司，我们仅面向从事句法分析研究的公司开放数据，签署协议前请先咨询我们是否有可能共享数据；解释权归我们课题组。
** 如果您不需要无标注数据，那么只需要签署标注数据使用协议。
* 您还需要将[http://tcci.ccf.org.cn/conference/2019/dldoc/SharedTaskRegistrationForm.docx NLPCC评测报名表]发送给NLPCC评测组织方，也请同时发给彭雪同学。

== 评测数据下载 ==
* [http://hlt.suda.edu.cn/index.php/Nlpcc-2019-shared-task-Readme 数据说明Readme]
* 训练集/开发集/无标注数据
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/train_dev_2019.4.8.zip 训练集开发集数据下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/unlabeled_2019.4.8.zip 无标注数据下载]
** 解压密码，我们收到数据使用协议后回复邮件告知
* 测试集数据 
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_2019.5.15.zip 无答案测试集数据下载]
*** 无答案测试集密码与“训练集开发集数据”解压密码相同
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_answer_2019.6.24.zip 有答案测试集数据下载]
* 预训练词向量下载：我们分别提供了50维、100维、300维的预训练词向量：
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding50.zip 50维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding100.zip 100维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding300.zip 300维下载]

== 结果提交（2019.5.25 deadline） ==
*请在2019年5月25日23：59之前提交您的最终结果，您在提交时请注意以下几点
** 测试结果文件请参考 Dev 数据及 Readme，确保每个文件严格采用 CoNLL 格式；
** 测试结果文件中除了包含原有的信息外，还需要在对应列给出您预测出的对应词的核心词head及其依存关系标签label；
** 提交结果时，请将所有测试结果文件打包成一个压缩文件后（zip/tar.gz）发送给彭雪同学（xpeng1117@qq.com），压缩文件的名字为 “队伍名.tar.gz”或“队伍名.zip”，队伍名为英文；
** 压缩文件内请严格按照如下目录/文件命名和组织形式（没有参加的子任务忽略即可），方便我们后续处理：
*** subtask1-un-closed/PC-Test.out.conll
*** subtask1-un-closed/PB-Test.out.conll
*** subtask1-un-closed/ZX-Test.out.conll
*** subtask2-semi-closed/PC-Test.out.conll
*** ...
*** subtask3-un-open/PC-Test.out.conll
*** ...
*** subtask4-semi-open/PC-Test.out.conll
*** ...
** 对于任何一个子任务，所有参赛队伍必须提交PC、PB、ZX 3 个目标领域的测试结果。

== 评测结果 ==
*每个subTask的Average_LAS 为对应subtask下3个领域数据LAS的平均值,Average_LAS = (PC_LAS+PB_LAS+ZX_Las)/3
*我们根据Average_LAS 排名，每个subtask的第一名已用红色 标出
*所有参加本次评测的单位都可以撰写“系统报告”文章，结果好的单位“系统报告”文章可以直接按照nlpcc投稿格式撰写，其他的单位也请务必简单的撰写一份report，描述您参加比赛时，使用方法的详细介绍。请大家尽快写完并以PDF格式发到彭雪邮箱（654905417@qq.com）。

*所有的参赛单位不论是否写评测论文，都需要提交一份简要的报告,介绍清楚评测中使用的方法。一方面我们需要确保您使用的方法符合我们的任务要求，另一方面我们提交overview文章时需要使用。请大家在6月20日前以PDF形式提交到彭雪邮箱

{| class="wikitable" style="text-align: center;"
|-
!
! colspan="4" | subtask1-un-closed|| colspan="4" | subtask2-semi-closed || colspan="4" | subtask3-un-open || colspan="4" | subtask4-semi-open
|-
!
! PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS 
|-
| SJ_superLZ ||35.6296/21.3299 ||62.5491/54.3544||50.0359/38.3082||37.9975 ||69.8770/59.4298||77.5249/71.3260||77.8376/71.5517||67.4358||72.0100/63.8807||80.2464/75.7409||82.1659/77.4425||72.3547||72.4018/64.3704||80.7907/76.1340||83.1537/78.6099||73.0381
|-
| SJ_superLZ(更新subtask3、4) || - || - || - || - || - || - || - || - || 60.50/49.49 ||81.61/76.77||79.74/74.32||66.86||75.25/67.77||85.53/81.51||86.14/81.65||76.98
|-
| PRIS_DP ||39.8193 /26.2705 ||67.3118 /60.4097 ||69.5582 /61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141 ||39.8193/26.2705 || 67.3118 /60.4097 ||69.5582/61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141
|-
|SyntaxError ||49.8204/36.8593||71.4772/65.4294 ||73.9045/66.5409 ||56.2765||72.1841/64.1201||82.5748/77.8273||80.5316/75.8441||72.5972|| || || || || || || ||
|-
| AntNLP ||43.6391/30.4712 ||70.5020/63.8343 ||72.8807/65.0682 ||53.1246 ||72.2277/63.9569 ||81.9398/77.2679 ||79.8851/74.8024 ||72.0091|| || || || || || || ||
|-
| 14yhl9days ||26.7167/10.9152 ||41.4953/27.3813 ||40.4454/26.4368 || 21.5778 ||47.3827/26.2597 ||47.2558/32.8772 ||45.4023/32.0043 ||30.3804|| || || || || || || ||
|-
| BLCU_Parser || || || || ||70.8891/61.7151 ||79.3015/74.2516 ||77.8376 /72.5754||69.5140|| || || || || || || ||
|-
| Nanjing Normal University || || || || || || || || || || || || ||70.9653/61.8239 ||80.5866/75.8542||79.3283/74.3534||70.6772
|-
|}

== 评价脚本下载 ==
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/evaluate.py 评价脚本下载]
** 执行命令：python3 evaluate.py gold.conll sys.conll
** 数据集需要为CoNLL格式，与我们提供的数据集格式相同。

Nlpcc-2019-shared-task

2019-10-04T07:39:30Z

Xpeng：/* 评测结果 */

== News （最新消息） ==
* 2019.6.24：发布最新测试数据（有答案）
* 2019.5.15：发布最新测试数据（无答案）
* 2019.5.20：提交结果deadline

== NLPCC-2019依存句法分析领域移植评测 ==
* [http://tcci.ccf.org.cn/conference/2019/cfpt.php NLPCC-2019评测页面]
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/cfp-v2.0.pdf 我们的参赛邀请函pdf]

== 汉语开放依存句法树库（CODT）标注情况介绍 ==
* [http://hlt.suda.edu.cn/index.php/CODT 网址]

==数据使用协议==

* [http://hlt.suda.edu.cn/~zhli/codt/codt-sharing-agreement.pdf 标注数据使用协议下载]（团队负责人签字，如果是公司，必须是公司法人签字）
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/alibaba-unlabeled-data-share-2019.4.4.doc 无标注数据使用协议下载] (机构、学院、学校或公司盖章）
* 请仔细阅读两个协议，并根据要求签署两个协议，然后统一发邮件给彭雪同学
* 请用机构的官方邮箱发送协议
** 由于版权保护问题，我们只面向机构、单位等团体开放数据；对于公司，我们仅面向从事句法分析研究的公司开放数据，签署协议前请先咨询我们是否有可能共享数据；解释权归我们课题组。
** 如果您不需要无标注数据，那么只需要签署标注数据使用协议。
* 您还需要将[http://tcci.ccf.org.cn/conference/2019/dldoc/SharedTaskRegistrationForm.docx NLPCC评测报名表]发送给NLPCC评测组织方，也请同时发给彭雪同学。

== 评测数据下载 ==
* [http://hlt.suda.edu.cn/index.php/Nlpcc-2019-shared-task-Readme 数据说明Readme]
* 训练集/开发集/无标注数据
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/train_dev_2019.4.8.zip 训练集开发集数据下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/unlabeled_2019.4.8.zip 无标注数据下载]
** 解压密码，我们收到数据使用协议后回复邮件告知
* 测试集数据 
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_2019.5.15.zip 无答案测试集数据下载]
*** 无答案测试集密码与“训练集开发集数据”解压密码相同
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_answer_2019.6.24.zip 有答案测试集数据下载]
* 预训练词向量下载：我们分别提供了50维、100维、300维的预训练词向量：
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding50.zip 50维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding100.zip 100维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding300.zip 300维下载]

== 结果提交（2019.5.25 deadline） ==
*请在2019年5月25日23：59之前提交您的最终结果，您在提交时请注意以下几点
** 测试结果文件请参考 Dev 数据及 Readme，确保每个文件严格采用 CoNLL 格式；
** 测试结果文件中除了包含原有的信息外，还需要在对应列给出您预测出的对应词的核心词head及其依存关系标签label；
** 提交结果时，请将所有测试结果文件打包成一个压缩文件后（zip/tar.gz）发送给彭雪同学（xpeng1117@qq.com），压缩文件的名字为 “队伍名.tar.gz”或“队伍名.zip”，队伍名为英文；
** 压缩文件内请严格按照如下目录/文件命名和组织形式（没有参加的子任务忽略即可），方便我们后续处理：
*** subtask1-un-closed/PC-Test.out.conll
*** subtask1-un-closed/PB-Test.out.conll
*** subtask1-un-closed/ZX-Test.out.conll
*** subtask2-semi-closed/PC-Test.out.conll
*** ...
*** subtask3-un-open/PC-Test.out.conll
*** ...
*** subtask4-semi-open/PC-Test.out.conll
*** ...
** 对于任何一个子任务，所有参赛队伍必须提交PC、PB、ZX 3 个目标领域的测试结果。

== 评测结果 ==
*每个subTask的Average_LAS 为对应subtask下3个领域数据LAS的平均值,Average_LAS = (PC_LAS+PB_LAS+ZX_Las)/3
*我们根据Average_LAS 排名，每个subtask的第一名已用红色 标出
*所有参加本次评测的单位都可以撰写“系统报告”文章，结果好的单位“系统报告”文章可以直接按照nlpcc投稿格式撰写，其他的单位也请务必简单的撰写一份report，描述您参加比赛时，使用方法的详细介绍。请大家尽快写完并以PDF格式发到彭雪邮箱（654905417@qq.com）。

*所有的参赛单位不论是否写评测论文，都需要提交一份简要的报告,介绍清楚评测中使用的方法。一方面我们需要确保您使用的方法符合我们的任务要求，另一方面我们提交overview文章时需要使用。请大家在6月20日前以PDF形式提交到彭雪邮箱

{| class="wikitable" style="text-align: center;"
|-
!
! colspan="4" | subtask1-un-closed|| colspan="4" | subtask2-semi-closed || colspan="4" | subtask3-un-open || colspan="4" | subtask4-semi-open
|-
!
! PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS 
|-
| SJ_superLZ ||35.6296/21.3299 ||62.5491/54.3544||50.0359/38.3082||37.9975 ||69.8770/59.4298||77.5249/71.3260||77.8376/71.5517||67.4358||72.0100/63.8807||80.2464/75.7409||82.1659/77.4425||72.3547||72.4018/64.3704||80.7907/76.1340||83.1537/78.6099||73.0381
|-
| SJ_superLZ(更新subtask3、4) || - || - || - || - || - || - || - || - || 60.50/49.49 ||81.61/76.77||79.74/74.32||66.86||75.25/67.77||85.53/81.51||86.14/81.65||76.98
|-
| PRIS_DP ||39.8193 /26.2705 ||67.3118 /60.4097 ||69.5582 /61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141 ||39.8193/26.2705 || 67.3118 /60.4097 ||69.5582/61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141
|-
|SyntaxError ||49.8204/36.8593||71.4772/65.4294 ||73.9045/66.5409 ||56.2765||72.1841/64.1201||82.5748/77.8273||80.5316/75.8441||72.5972|| || || || || || || ||
|-
| AntNLP ||43.6391/30.4712 ||70.5020/63.8343 ||72.8807/65.0682 ||53.1246 ||72.2277/63.9569 ||81.9398/77.2679 ||79.8851/74.8024 ||72.0091|| || || || || || || ||
|-
| 14yhl9days ||26.7167/10.9152 ||41.4953/27.3813 ||40.4454/26.4368 || 21.5778 ||47.3827/26.2597 ||47.2558/32.8772 ||45.4023/32.0043 ||30.3804|| || || || || || || ||
|-
| BLCU_Parser || || || || ||70.8891/61.7151 ||79.3015/74.2516 ||77.8376 /72.5754||69.5140|| || || || || || || ||
|-
| Nanjing Normal University || || || || || || || || || || || || ||70.9653/61.8239 ||80.5866/75.8542||79.3283/74.3534||70.6772
|-
|}

== 评价脚本下载 ==
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/evaluate.py 评价脚本下载]
** 执行命令：python3 evaluate.py gold.conll sys.conll
** 数据集需要为CoNLL格式，与我们提供的数据集格式相同。

Nlpcc-2019-shared-task

2019-09-05T08:50:28Z

Xpeng：

== News （最新消息） ==
* 2019.6.24：发布最新测试数据（有答案）
* 2019.5.15：发布最新测试数据（无答案）
* 2019.5.20：提交结果deadline

== NLPCC-2019依存句法分析领域移植评测 ==
* [http://tcci.ccf.org.cn/conference/2019/cfpt.php NLPCC-2019评测页面]
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/cfp-v2.0.pdf 我们的参赛邀请函pdf]

== 汉语开放依存句法树库（CODT）标注情况介绍 ==
* [http://hlt.suda.edu.cn/index.php/CODT 网址]

==数据使用协议==

* [http://hlt.suda.edu.cn/~zhli/codt/codt-sharing-agreement.pdf 标注数据使用协议下载]（团队负责人签字，如果是公司，必须是公司法人签字）
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/alibaba-unlabeled-data-share-2019.4.4.doc 无标注数据使用协议下载] (机构、学院、学校或公司盖章）
* 请仔细阅读两个协议，并根据要求签署两个协议，然后统一发邮件给彭雪同学
* 请用机构的官方邮箱发送协议
** 由于版权保护问题，我们只面向机构、单位等团体开放数据；对于公司，我们仅面向从事句法分析研究的公司开放数据，签署协议前请先咨询我们是否有可能共享数据；解释权归我们课题组。
** 如果您不需要无标注数据，那么只需要签署标注数据使用协议。
* 您还需要将[http://tcci.ccf.org.cn/conference/2019/dldoc/SharedTaskRegistrationForm.docx NLPCC评测报名表]发送给NLPCC评测组织方，也请同时发给彭雪同学。

== 评测数据下载 ==
* [http://hlt.suda.edu.cn/index.php/Nlpcc-2019-shared-task-Readme 数据说明Readme]
* 训练集/开发集/无标注数据
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/train_dev_2019.4.8.zip 训练集开发集数据下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/unlabeled_2019.4.8.zip 无标注数据下载]
** 解压密码，我们收到数据使用协议后回复邮件告知
* 测试集数据 
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_2019.5.15.zip 无答案测试集数据下载]
*** 无答案测试集密码与“训练集开发集数据”解压密码相同
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_answer_2019.6.24.zip 有答案测试集数据下载]
* 预训练词向量下载：我们分别提供了50维、100维、300维的预训练词向量：
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding50.zip 50维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding100.zip 100维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding300.zip 300维下载]

== 结果提交（2019.5.25 deadline） ==
*请在2019年5月25日23：59之前提交您的最终结果，您在提交时请注意以下几点
** 测试结果文件请参考 Dev 数据及 Readme，确保每个文件严格采用 CoNLL 格式；
** 测试结果文件中除了包含原有的信息外，还需要在对应列给出您预测出的对应词的核心词head及其依存关系标签label；
** 提交结果时，请将所有测试结果文件打包成一个压缩文件后（zip/tar.gz）发送给彭雪同学（xpeng1117@qq.com），压缩文件的名字为 “队伍名.tar.gz”或“队伍名.zip”，队伍名为英文；
** 压缩文件内请严格按照如下目录/文件命名和组织形式（没有参加的子任务忽略即可），方便我们后续处理：
*** subtask1-un-closed/PC-Test.out.conll
*** subtask1-un-closed/PB-Test.out.conll
*** subtask1-un-closed/ZX-Test.out.conll
*** subtask2-semi-closed/PC-Test.out.conll
*** ...
*** subtask3-un-open/PC-Test.out.conll
*** ...
*** subtask4-semi-open/PC-Test.out.conll
*** ...
** 对于任何一个子任务，所有参赛队伍必须提交PC、PB、ZX 3 个目标领域的测试结果。

== 评测结果 ==
*每个subTask的Average_LAS 为对应subtask下3个领域数据LAS的平均值,Average_LAS = (PC_LAS+PB_LAS+ZX_Las)/3
*我们根据Average_LAS 排名，每个subtask的第一名已用红色 标出
*所有参加本次评测的单位都可以撰写“系统报告”文章，结果好的单位“系统报告”文章可以直接按照nlpcc投稿格式撰写，其他的单位也请务必简单的撰写一份report，描述您参加比赛时，使用方法的详细介绍。请大家尽快写完并以PDF格式发到彭雪邮箱（654905417@qq.com）。

*所有的参赛单位不论是否写评测论文，都需要提交一份简要的报告,介绍清楚评测中使用的方法。一方面我们需要确保您使用的方法符合我们的任务要求，另一方面我们提交overview文章时需要使用。请大家在6月20日前以PDF形式提交到彭雪邮箱

{| class="wikitable" style="text-align: center;"
|-
!
! colspan="4" | subtask1-un-closed|| colspan="4" | subtask2-semi-closed || colspan="4" | subtask3-un-open || colspan="4" | subtask4-semi-open
|-
!
! PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS 
|-
| SJ_superLZ ||35.6296/21.3299 ||62.5491/54.3544||50.0359/38.3082||37.9975 ||69.8770/59.4298||77.5249/71.3260||77.8376/71.5517||67.4358||72.0100/63.8807||80.2464/75.7409||82.1659/77.4425||72.3547||72.4018/64.3704||80.7907/76.1340||83.1537/78.6099||73.0381
|-
| PRIS_DP ||39.8193 /26.2705 ||67.3118 /60.4097 ||69.5582 /61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141 ||39.8193/26.2705 || 67.3118 /60.4097 ||69.5582/61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141
|-
|SyntaxError ||49.8204/36.8593||71.4772/65.4294 ||73.9045/66.5409 ||56.2765||72.1841/64.1201||82.5748/77.8273||80.5316/75.8441||72.5972|| || || || || || || ||
|-
| AntNLP ||43.6391/30.4712 ||70.5020/63.8343 ||72.8807/65.0682 ||53.1246 ||72.2277/63.9569 ||81.9398/77.2679 ||79.8851/74.8024 ||72.0091|| || || || || || || ||
|-
| 14yhl9days ||26.7167/10.9152 ||41.4953/27.3813 ||40.4454/26.4368 || 21.5778 ||47.3827/26.2597 ||47.2558/32.8772 ||45.4023/32.0043 ||30.3804|| || || || || || || ||
|-
| BLCU_Parser || || || || ||70.8891/61.7151 ||79.3015/74.2516 ||77.8376 /72.5754||69.5140|| || || || || || || ||
|-
| Nanjing Normal University || || || || || || || || || || || || ||70.9653/61.8239 ||80.5866/75.8542||79.3283/74.3534||70.6772
|-
|}

== 评价脚本下载 ==
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/evaluate.py 评价脚本下载]
** 执行命令：python3 evaluate.py gold.conll sys.conll
** 数据集需要为CoNLL格式，与我们提供的数据集格式相同。

Nlpcc-2019-shared-task

2019-06-22T12:29:11Z

Xpeng：/* 评测数据下载 */

== News （最新消息） ==
* 2019.6.24：发布最新测试数据（有答案）
* 2019.5.15：发布最新测试数据（无答案）
* 2019.5.20：提交结果deadline

== NLPCC-2019依存句法分析领域移植评测 ==
* [http://tcci.ccf.org.cn/conference/2019/cfpt.php NLPCC-2019评测页面]
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/cfp-v2.0.pdf 我们的参赛邀请函pdf]

== 苏州大学汉语依存树库（SUCDT）标注情况介绍 ==
* [http://hlt.suda.edu.cn/index.php/SUCDT 网址]

==数据使用协议==

* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/sucdt-share-2019.4.3.v2.doc 标注数据使用协议下载]（团队负责人签字，如果是公司，必须是公司法人签字）
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/alibaba-unlabeled-data-share-2019.4.4.doc 无标注数据使用协议下载] (机构、学院、学校或公司盖章）
* 请仔细阅读两个协议，并根据要求签署两个协议，然后统一发邮件给彭雪同学
* 请用机构的官方邮箱发送协议
** 由于版权保护问题，我们只面向机构、单位等团体开放数据；对于公司，我们仅面向从事句法分析研究的公司开放数据，签署协议前请先咨询我们是否有可能共享数据；解释权归我们课题组。
** 如果您不需要无标注数据，那么只需要签署标注数据使用协议。
* 您还需要将[http://tcci.ccf.org.cn/conference/2019/dldoc/SharedTaskRegistrationForm.docx NLPCC评测报名表]发送给NLPCC评测组织方，也请同时发给彭雪同学。

== 评测数据下载 ==
* [http://hlt.suda.edu.cn/index.php/Nlpcc-2019-shared-task-Readme 数据说明Readme]
* 训练集/开发集/无标注数据
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/train_dev_2019.4.8.zip 训练集开发集数据下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/unlabeled_2019.4.8.zip 无标注数据下载]
** 解压密码，我们收到数据使用协议后回复邮件告知
* 测试集数据 
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_2019.5.15.zip 无答案测试集数据下载]
*** 无答案测试集密码与“训练集开发集数据”解压密码相同
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_answer_2019.6.24.zip 有答案测试集数据下载]
* 预训练词向量下载：我们分别提供了50维、100维、300维的预训练词向量：
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding50.zip 50维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding100.zip 100维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding300.zip 300维下载]

== 结果提交（2019.5.25 deadline） ==
*请在2019年5月25日23：59之前提交您的最终结果，您在提交时请注意以下几点
** 测试结果文件请参考 Dev 数据及 Readme，确保每个文件严格采用 CoNLL 格式；
** 测试结果文件中除了包含原有的信息外，还需要在对应列给出您预测出的对应词的核心词head及其依存关系标签label；
** 提交结果时，请将所有测试结果文件打包成一个压缩文件后（zip/tar.gz）发送给彭雪同学（xpeng1117@qq.com），压缩文件的名字为 “队伍名.tar.gz”或“队伍名.zip”，队伍名为英文；
** 压缩文件内请严格按照如下目录/文件命名和组织形式（没有参加的子任务忽略即可），方便我们后续处理：
*** subtask1-un-closed/PC-Test.out.conll
*** subtask1-un-closed/PB-Test.out.conll
*** subtask1-un-closed/ZX-Test.out.conll
*** subtask2-semi-closed/PC-Test.out.conll
*** ...
*** subtask3-un-open/PC-Test.out.conll
*** ...
*** subtask4-semi-open/PC-Test.out.conll
*** ...
** 对于任何一个子任务，所有参赛队伍必须提交PC、PB、ZX 3 个目标领域的测试结果。

== 评测结果 ==
*每个subTask的Average_LAS 为对应subtask下3个领域数据LAS的平均值,Average_LAS = (PC_LAS+PB_LAS+ZX_Las)/3
*我们根据Average_LAS 排名，每个subtask的第一名已用红色 标出
*所有参加本次评测的单位都可以撰写“系统报告”文章，结果好的单位“系统报告”文章可以直接按照nlpcc投稿格式撰写，其他的单位也请务必简单的撰写一份report，描述您参加比赛时，使用方法的详细介绍。请大家尽快写完并以PDF格式发到彭雪邮箱（654905417@qq.com）。

*所有的参赛单位不论是否写评测论文，都需要提交一份简要的报告,介绍清楚评测中使用的方法。一方面我们需要确保您使用的方法符合我们的任务要求，另一方面我们提交overview文章时需要使用。请大家在6月20日前以PDF形式提交到彭雪邮箱

{| class="wikitable" style="text-align: center;"
|-
!
! colspan="4" | subtask1-un-closed|| colspan="4" | subtask2-semi-closed || colspan="4" | subtask3-un-open || colspan="4" | subtask4-semi-open
|-
!
! PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS 
|-
| SJ_superLZ ||35.6296/21.3299 ||62.5491/54.3544||50.0359/38.3082||37.9975 ||69.8770/59.4298||77.5249/71.3260||77.8376/71.5517||67.4358||72.0100/63.8807||80.2464/75.7409||82.1659/77.4425||72.3547||72.4018/64.3704||80.7907/76.1340||83.1537/78.6099||73.0381
|-
| PRIS_DP ||39.8193 /26.2705 ||67.3118 /60.4097 ||69.5582 /61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141 ||39.8193/26.2705 || 67.3118 /60.4097 ||69.5582/61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141
|-
|SyntaxError ||49.8204/36.8593||71.4772/65.4294 ||73.9045/66.5409 ||56.2765||72.1841/64.1201||82.5748/77.8273||80.5316/75.8441||72.5972|| || || || || || || ||
|-
| AntNLP ||43.6391/30.4712 ||70.5020/63.8343 ||72.8807/65.0682 ||53.1246 ||72.2277/63.9569 ||81.9398/77.2679 ||79.8851/74.8024 ||72.0091|| || || || || || || ||
|-
| 14yhl9days ||26.7167/10.9152 ||41.4953/27.3813 ||40.4454/26.4368 || 21.5778 ||47.3827/26.2597 ||47.2558/32.8772 ||45.4023/32.0043 ||30.3804|| || || || || || || ||
|-
| BLCU_Parser || || || || ||70.8891/61.7151 ||79.3015/74.2516 ||77.8376 /72.5754||69.5140|| || || || || || || ||
|-
| Nanjing Normal University || || || || || || || || || || || || ||70.9653/61.8239 ||80.5866/75.8542||79.3283/74.3534||70.6772
|-
|}

== 评价脚本下载 ==
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/evaluate.py 评价脚本下载]
** 执行命令：python3 evaluate.py gold.conll sys.conll
** 数据集需要为CoNLL格式，与我们提供的数据集格式相同。

Nlpcc-2019-shared-task

2019-06-22T12:11:15Z

Xpeng：/* News （最新消息） */

== News （最新消息） ==
* 2019.6.24：发布最新测试数据（有答案）
* 2019.5.15：发布最新测试数据（无答案）
* 2019.5.20：提交结果deadline

== NLPCC-2019依存句法分析领域移植评测 ==
* [http://tcci.ccf.org.cn/conference/2019/cfpt.php NLPCC-2019评测页面]
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/cfp-v2.0.pdf 我们的参赛邀请函pdf]

== 苏州大学汉语依存树库（SUCDT）标注情况介绍 ==
* [http://hlt.suda.edu.cn/index.php/SUCDT 网址]

==数据使用协议==

* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/sucdt-share-2019.4.3.v2.doc 标注数据使用协议下载]（团队负责人签字，如果是公司，必须是公司法人签字）
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/alibaba-unlabeled-data-share-2019.4.4.doc 无标注数据使用协议下载] (机构、学院、学校或公司盖章）
* 请仔细阅读两个协议，并根据要求签署两个协议，然后统一发邮件给彭雪同学
* 请用机构的官方邮箱发送协议
** 由于版权保护问题，我们只面向机构、单位等团体开放数据；对于公司，我们仅面向从事句法分析研究的公司开放数据，签署协议前请先咨询我们是否有可能共享数据；解释权归我们课题组。
** 如果您不需要无标注数据，那么只需要签署标注数据使用协议。
* 您还需要将[http://tcci.ccf.org.cn/conference/2019/dldoc/SharedTaskRegistrationForm.docx NLPCC评测报名表]发送给NLPCC评测组织方，也请同时发给彭雪同学。

== 评测数据下载 ==
* [http://hlt.suda.edu.cn/index.php/Nlpcc-2019-shared-task-Readme 数据说明Readme]
* 训练集/开发集/无标注数据
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/train_dev_2019.4.8.zip 训练集开发集数据下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/unlabeled_2019.4.8.zip 无标注数据下载]
** 解压密码，我们收到数据使用协议后回复邮件告知
* 测试集数据 
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_2019.5.15.zip 无答案测试集数据下载]
** 无答案测试集密码与“训练集开发集数据”解压密码相同
* 预训练词向量下载：我们分别提供了50维、100维、300维的预训练词向量：
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding50.zip 50维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding100.zip 100维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding300.zip 300维下载]

== 结果提交（2019.5.25 deadline） ==
*请在2019年5月25日23：59之前提交您的最终结果，您在提交时请注意以下几点
** 测试结果文件请参考 Dev 数据及 Readme，确保每个文件严格采用 CoNLL 格式；
** 测试结果文件中除了包含原有的信息外，还需要在对应列给出您预测出的对应词的核心词head及其依存关系标签label；
** 提交结果时，请将所有测试结果文件打包成一个压缩文件后（zip/tar.gz）发送给彭雪同学（xpeng1117@qq.com），压缩文件的名字为 “队伍名.tar.gz”或“队伍名.zip”，队伍名为英文；
** 压缩文件内请严格按照如下目录/文件命名和组织形式（没有参加的子任务忽略即可），方便我们后续处理：
*** subtask1-un-closed/PC-Test.out.conll
*** subtask1-un-closed/PB-Test.out.conll
*** subtask1-un-closed/ZX-Test.out.conll
*** subtask2-semi-closed/PC-Test.out.conll
*** ...
*** subtask3-un-open/PC-Test.out.conll
*** ...
*** subtask4-semi-open/PC-Test.out.conll
*** ...
** 对于任何一个子任务，所有参赛队伍必须提交PC、PB、ZX 3 个目标领域的测试结果。

== 评测结果 ==
*每个subTask的Average_LAS 为对应subtask下3个领域数据LAS的平均值,Average_LAS = (PC_LAS+PB_LAS+ZX_Las)/3
*我们根据Average_LAS 排名，每个subtask的第一名已用红色 标出
*所有参加本次评测的单位都可以撰写“系统报告”文章，结果好的单位“系统报告”文章可以直接按照nlpcc投稿格式撰写，其他的单位也请务必简单的撰写一份report，描述您参加比赛时，使用方法的详细介绍。请大家尽快写完并以PDF格式发到彭雪邮箱（654905417@qq.com）。

*所有的参赛单位不论是否写评测论文，都需要提交一份简要的报告,介绍清楚评测中使用的方法。一方面我们需要确保您使用的方法符合我们的任务要求，另一方面我们提交overview文章时需要使用。请大家在6月20日前以PDF形式提交到彭雪邮箱

{| class="wikitable" style="text-align: center;"
|-
!
! colspan="4" | subtask1-un-closed|| colspan="4" | subtask2-semi-closed || colspan="4" | subtask3-un-open || colspan="4" | subtask4-semi-open
|-
!
! PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS 
|-
| SJ_superLZ ||35.6296/21.3299 ||62.5491/54.3544||50.0359/38.3082||37.9975 ||69.8770/59.4298||77.5249/71.3260||77.8376/71.5517||67.4358||72.0100/63.8807||80.2464/75.7409||82.1659/77.4425||72.3547||72.4018/64.3704||80.7907/76.1340||83.1537/78.6099||73.0381
|-
| PRIS_DP ||39.8193 /26.2705 ||67.3118 /60.4097 ||69.5582 /61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141 ||39.8193/26.2705 || 67.3118 /60.4097 ||69.5582/61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141
|-
|SyntaxError ||49.8204/36.8593||71.4772/65.4294 ||73.9045/66.5409 ||56.2765||72.1841/64.1201||82.5748/77.8273||80.5316/75.8441||72.5972|| || || || || || || ||
|-
| AntNLP ||43.6391/30.4712 ||70.5020/63.8343 ||72.8807/65.0682 ||53.1246 ||72.2277/63.9569 ||81.9398/77.2679 ||79.8851/74.8024 ||72.0091|| || || || || || || ||
|-
| 14yhl9days ||26.7167/10.9152 ||41.4953/27.3813 ||40.4454/26.4368 || 21.5778 ||47.3827/26.2597 ||47.2558/32.8772 ||45.4023/32.0043 ||30.3804|| || || || || || || ||
|-
| BLCU_Parser || || || || ||70.8891/61.7151 ||79.3015/74.2516 ||77.8376 /72.5754||69.5140|| || || || || || || ||
|-
| Nanjing Normal University || || || || || || || || || || || || ||70.9653/61.8239 ||80.5866/75.8542||79.3283/74.3534||70.6772
|-
|}

== 评价脚本下载 ==
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/evaluate.py 评价脚本下载]
** 执行命令：python3 evaluate.py gold.conll sys.conll
** 数据集需要为CoNLL格式，与我们提供的数据集格式相同。

Nlpcc-2019-shared-task

2019-06-13T07:44:07Z

Xpeng：/* 评测结果 */

== News （最新消息） ==
* 2019.5.15：发布最新测试数据（无答案）
* 2019.5.20：提交结果deadline

== NLPCC-2019依存句法分析领域移植评测 ==
* [http://tcci.ccf.org.cn/conference/2019/cfpt.php NLPCC-2019评测页面]
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/cfp-v2.0.pdf 我们的参赛邀请函pdf]

== 苏州大学汉语依存树库（SUCDT）标注情况介绍 ==
* [http://hlt.suda.edu.cn/index.php/SUCDT 网址]

==数据使用协议==

* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/sucdt-share-2019.4.3.v2.doc 标注数据使用协议下载]（团队负责人签字，如果是公司，必须是公司法人签字）
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/alibaba-unlabeled-data-share-2019.4.4.doc 无标注数据使用协议下载] (机构、学院、学校或公司盖章）
* 请仔细阅读两个协议，并根据要求签署两个协议，然后统一发邮件给彭雪同学
* 请用机构的官方邮箱发送协议
** 由于版权保护问题，我们只面向机构、单位等团体开放数据；对于公司，我们仅面向从事句法分析研究的公司开放数据，签署协议前请先咨询我们是否有可能共享数据；解释权归我们课题组。
** 如果您不需要无标注数据，那么只需要签署标注数据使用协议。
* 您还需要将[http://tcci.ccf.org.cn/conference/2019/dldoc/SharedTaskRegistrationForm.docx NLPCC评测报名表]发送给NLPCC评测组织方，也请同时发给彭雪同学。

== 评测数据下载 ==
* [http://hlt.suda.edu.cn/index.php/Nlpcc-2019-shared-task-Readme 数据说明Readme]
* 训练集/开发集/无标注数据
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/train_dev_2019.4.8.zip 训练集开发集数据下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/unlabeled_2019.4.8.zip 无标注数据下载]
** 解压密码，我们收到数据使用协议后回复邮件告知
* 测试集数据 
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_2019.5.15.zip 无答案测试集数据下载]
** 无答案测试集密码与“训练集开发集数据”解压密码相同
* 预训练词向量下载：我们分别提供了50维、100维、300维的预训练词向量：
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding50.zip 50维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding100.zip 100维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding300.zip 300维下载]

== 结果提交（2019.5.25 deadline） ==
*请在2019年5月25日23：59之前提交您的最终结果，您在提交时请注意以下几点
** 测试结果文件请参考 Dev 数据及 Readme，确保每个文件严格采用 CoNLL 格式；
** 测试结果文件中除了包含原有的信息外，还需要在对应列给出您预测出的对应词的核心词head及其依存关系标签label；
** 提交结果时，请将所有测试结果文件打包成一个压缩文件后（zip/tar.gz）发送给彭雪同学（xpeng1117@qq.com），压缩文件的名字为 “队伍名.tar.gz”或“队伍名.zip”，队伍名为英文；
** 压缩文件内请严格按照如下目录/文件命名和组织形式（没有参加的子任务忽略即可），方便我们后续处理：
*** subtask1-un-closed/PC-Test.out.conll
*** subtask1-un-closed/PB-Test.out.conll
*** subtask1-un-closed/ZX-Test.out.conll
*** subtask2-semi-closed/PC-Test.out.conll
*** ...
*** subtask3-un-open/PC-Test.out.conll
*** ...
*** subtask4-semi-open/PC-Test.out.conll
*** ...
** 对于任何一个子任务，所有参赛队伍必须提交PC、PB、ZX 3 个目标领域的测试结果。

== 评测结果 ==
*每个subTask的Average_LAS 为对应subtask下3个领域数据LAS的平均值,Average_LAS = (PC_LAS+PB_LAS+ZX_Las)/3
*我们根据Average_LAS 排名，每个subtask的第一名已用红色 标出
*所有参加本次评测的单位都可以撰写“系统报告”文章，结果好的单位“系统报告”文章可以直接按照nlpcc投稿格式撰写，其他的单位也请务必简单的撰写一份report，描述您参加比赛时，使用方法的详细介绍。请大家尽快写完并以PDF格式发到彭雪邮箱（654905417@qq.com）。

*所有的参赛单位不论是否写评测论文，都需要提交一份简要的报告,介绍清楚评测中使用的方法。一方面我们需要确保您使用的方法符合我们的任务要求，另一方面我们提交overview文章时需要使用。请大家在6月20日前以PDF形式提交到彭雪邮箱

{| class="wikitable" style="text-align: center;"
|-
!
! colspan="4" | subtask1-un-closed|| colspan="4" | subtask2-semi-closed || colspan="4" | subtask3-un-open || colspan="4" | subtask4-semi-open
|-
!
! PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS 
|-
| SJ_superLZ ||35.6296/21.3299 ||62.5491/54.3544||50.0359/38.3082||37.9975 ||69.8770/59.4298||77.5249/71.3260||77.8376/71.5517||67.4358||72.0100/63.8807||80.2464/75.7409||82.1659/77.4425||72.3547||72.4018/64.3704||80.7907/76.1340||83.1537/78.6099||73.0381
|-
| PRIS_DP ||39.8193 /26.2705 ||67.3118 /60.4097 ||69.5582 /61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141 ||39.8193/26.2705 || 67.3118 /60.4097 ||69.5582/61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141
|-
|SyntaxError ||49.8204/36.8593||71.4772/65.4294 ||73.9045/66.5409 ||56.2765||72.1841/64.1201||82.5748/77.8273||80.5316/75.8441||72.5972|| || || || || || || ||
|-
| AntNLP ||43.6391/30.4712 ||70.5020/63.8343 ||72.8807/65.0682 ||53.1246 ||72.2277/63.9569 ||81.9398/77.2679 ||79.8851/74.8024 ||72.0091|| || || || || || || ||
|-
| 14yhl9days ||26.7167/10.9152 ||41.4953/27.3813 ||40.4454/26.4368 || 21.5778 ||47.3827/26.2597 ||47.2558/32.8772 ||45.4023/32.0043 ||30.3804|| || || || || || || ||
|-
| BLCU_Parser || || || || ||70.8891/61.7151 ||79.3015/74.2516 ||77.8376 /72.5754||69.5140|| || || || || || || ||
|-
| Nanjing Normal University || || || || || || || || || || || || ||70.9653/61.8239 ||80.5866/75.8542||79.3283/74.3534||70.6772
|-
|}

== 评价脚本下载 ==
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/evaluate.py 评价脚本下载]
** 执行命令：python3 evaluate.py gold.conll sys.conll
** 数据集需要为CoNLL格式，与我们提供的数据集格式相同。

Nlpcc-2019-shared-task

2019-06-13T07:43:36Z

Xpeng：/* 评测结果 */

== News （最新消息） ==
* 2019.5.15：发布最新测试数据（无答案）
* 2019.5.20：提交结果deadline

== NLPCC-2019依存句法分析领域移植评测 ==
* [http://tcci.ccf.org.cn/conference/2019/cfpt.php NLPCC-2019评测页面]
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/cfp-v2.0.pdf 我们的参赛邀请函pdf]

== 苏州大学汉语依存树库（SUCDT）标注情况介绍 ==
* [http://hlt.suda.edu.cn/index.php/SUCDT 网址]

==数据使用协议==

* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/sucdt-share-2019.4.3.v2.doc 标注数据使用协议下载]（团队负责人签字，如果是公司，必须是公司法人签字）
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/alibaba-unlabeled-data-share-2019.4.4.doc 无标注数据使用协议下载] (机构、学院、学校或公司盖章）
* 请仔细阅读两个协议，并根据要求签署两个协议，然后统一发邮件给彭雪同学
* 请用机构的官方邮箱发送协议
** 由于版权保护问题，我们只面向机构、单位等团体开放数据；对于公司，我们仅面向从事句法分析研究的公司开放数据，签署协议前请先咨询我们是否有可能共享数据；解释权归我们课题组。
** 如果您不需要无标注数据，那么只需要签署标注数据使用协议。
* 您还需要将[http://tcci.ccf.org.cn/conference/2019/dldoc/SharedTaskRegistrationForm.docx NLPCC评测报名表]发送给NLPCC评测组织方，也请同时发给彭雪同学。

== 评测数据下载 ==
* [http://hlt.suda.edu.cn/index.php/Nlpcc-2019-shared-task-Readme 数据说明Readme]
* 训练集/开发集/无标注数据
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/train_dev_2019.4.8.zip 训练集开发集数据下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/unlabeled_2019.4.8.zip 无标注数据下载]
** 解压密码，我们收到数据使用协议后回复邮件告知
* 测试集数据 
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_2019.5.15.zip 无答案测试集数据下载]
** 无答案测试集密码与“训练集开发集数据”解压密码相同
* 预训练词向量下载：我们分别提供了50维、100维、300维的预训练词向量：
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding50.zip 50维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding100.zip 100维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding300.zip 300维下载]

== 结果提交（2019.5.25 deadline） ==
*请在2019年5月25日23：59之前提交您的最终结果，您在提交时请注意以下几点
** 测试结果文件请参考 Dev 数据及 Readme，确保每个文件严格采用 CoNLL 格式；
** 测试结果文件中除了包含原有的信息外，还需要在对应列给出您预测出的对应词的核心词head及其依存关系标签label；
** 提交结果时，请将所有测试结果文件打包成一个压缩文件后（zip/tar.gz）发送给彭雪同学（xpeng1117@qq.com），压缩文件的名字为 “队伍名.tar.gz”或“队伍名.zip”，队伍名为英文；
** 压缩文件内请严格按照如下目录/文件命名和组织形式（没有参加的子任务忽略即可），方便我们后续处理：
*** subtask1-un-closed/PC-Test.out.conll
*** subtask1-un-closed/PB-Test.out.conll
*** subtask1-un-closed/ZX-Test.out.conll
*** subtask2-semi-closed/PC-Test.out.conll
*** ...
*** subtask3-un-open/PC-Test.out.conll
*** ...
*** subtask4-semi-open/PC-Test.out.conll
*** ...
** 对于任何一个子任务，所有参赛队伍必须提交PC、PB、ZX 3 个目标领域的测试结果。

== 评测结果 ==
*每个subTask的Average_LAS 为对应subtask下3个领域数据LAS的平均值,Average_LAS = (PC_LAS+PB_LAS+ZX_Las)/3
*我们根据Average_LAS 排名，每个subtask的第一名已用红色 标出
*所有参加本次评测的单位都可以撰写“系统报告”文章，结果好的单位“系统报告”文章可以直接按照nlpcc投稿格式撰写，其他的单位也请务必简单的撰写一份report，描述您参加比赛时，使用方法的详细介绍。请大家尽快写完并以PDF格式发到彭雪邮箱（654905417@qq.com）。

*所有的参赛单位不论是否写评测论文，都需要提交一份简要的报告,介绍清楚评测中使用的方法。一方面我们需要确保您使用的方法符合我们的任务要求，另一方面我们提交overview文章时需要使用。请大家在6月20日前以PDF形式提交到彭雪邮箱

{| class="wikitable" style="text-align: center;"
|-
!
! colspan="4" | subtask1-un-closed|| colspan="4" | subtask2-semi-closed || colspan="4" | subtask3-un-open || colspan="4" | subtask4-semi-open
|-
!
! PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS 
|-
| SJ_superLZ ||35.6296/21.3299 ||62.5491/54.3544||50.0359/38.3082||37.9975 ||69.8770/59.4298||77.5249/71.3260||77.8376/71.5517||67.4358||72.0100/63.8807||80.2464/75.7409||82.1659/77.4425||72.3547||72.4018/64.3704||80.7907/76.1340||83.1537/78.6099||73.0381
|-
| PRIS_DP ||39.8193 /26.2705 ||67.3118 /60.4097 ||69.5582 /61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141 ||39.8193/26.2705 || 67.3118 /60.4097 ||69.5582/61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141
|-
|SyntaxError ||49.8204/36.8593||71.4772/65.4294 ||73.9045/66.5409 ||56.2765||72.1841/64.1201||82.5748/77.8273||80.5316/75.8441||72.5972|| || || || || || || ||
|-
| AntNLP ||43.6391/30.4712 ||70.5020/63.8343 ||72.8807/65.0682 ||53.1246 ||72.2277/63.9569 ||81.9398/77.2679 ||79.8851/74.8024 ||72.0091|| || || || || || || ||
|-
| 14yhl9days ||26.7167/10.9152 ||41.4953/27.3813 ||40.4454/26.4368 || 21.5778 ||47.3827/26.2597 ||47.2558/32.8772 ||45.4023/32.0043 ||30.3804|| || || || || || || ||
|-
| BLCU_Parser || || || || ||70.8891/61.7151 ||79.3015/74.2516 ||77.8376 /72.5754||69.5140|| || || || || || || ||
|-
| Nanjing Normal University || || || || || || || || || || || || ||70.9653/61.8239 ||80.5866/75.8542||79.3283/74.3534||70.6772
|-
|}

== 评价脚本下载 ==
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/evaluate.py 评价脚本下载]
** 执行命令：python3 evaluate.py gold.conll sys.conll
** 数据集需要为CoNLL格式，与我们提供的数据集格式相同。

Nlpcc-2019-shared-task

2019-05-30T11:34:13Z

Xpeng：/* 评测结果 */

== News （最新消息） ==
* 2019.5.15：发布最新测试数据（无答案）
* 2019.5.20：提交结果deadline

== NLPCC-2019依存句法分析领域移植评测 ==
* [http://tcci.ccf.org.cn/conference/2019/cfpt.php NLPCC-2019评测页面]
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/cfp-v2.0.pdf 我们的参赛邀请函pdf]

== 苏州大学汉语依存树库（SUCDT）标注情况介绍 ==
* [http://hlt.suda.edu.cn/index.php/SUCDT 网址]

==数据使用协议==

* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/sucdt-share-2019.4.3.v2.doc 标注数据使用协议下载]（团队负责人签字，如果是公司，必须是公司法人签字）
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/alibaba-unlabeled-data-share-2019.4.4.doc 无标注数据使用协议下载] (机构、学院、学校或公司盖章）
* 请仔细阅读两个协议，并根据要求签署两个协议，然后统一发邮件给彭雪同学
* 请用机构的官方邮箱发送协议
** 由于版权保护问题，我们只面向机构、单位等团体开放数据；对于公司，我们仅面向从事句法分析研究的公司开放数据，签署协议前请先咨询我们是否有可能共享数据；解释权归我们课题组。
** 如果您不需要无标注数据，那么只需要签署标注数据使用协议。
* 您还需要将[http://tcci.ccf.org.cn/conference/2019/dldoc/SharedTaskRegistrationForm.docx NLPCC评测报名表]发送给NLPCC评测组织方，也请同时发给彭雪同学。

== 评测数据下载 ==
* [http://hlt.suda.edu.cn/index.php/Nlpcc-2019-shared-task-Readme 数据说明Readme]
* 训练集/开发集/无标注数据
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/train_dev_2019.4.8.zip 训练集开发集数据下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/unlabeled_2019.4.8.zip 无标注数据下载]
** 解压密码，我们收到数据使用协议后回复邮件告知
* 测试集数据 
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_2019.5.15.zip 无答案测试集数据下载]
** 无答案测试集密码与“训练集开发集数据”解压密码相同
* 预训练词向量下载：我们分别提供了50维、100维、300维的预训练词向量：
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding50.zip 50维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding100.zip 100维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding300.zip 300维下载]

== 结果提交（2019.5.25 deadline） ==
*请在2019年5月25日23：59之前提交您的最终结果，您在提交时请注意以下几点
** 测试结果文件请参考 Dev 数据及 Readme，确保每个文件严格采用 CoNLL 格式；
** 测试结果文件中除了包含原有的信息外，还需要在对应列给出您预测出的对应词的核心词head及其依存关系标签label；
** 提交结果时，请将所有测试结果文件打包成一个压缩文件后（zip/tar.gz）发送给彭雪同学（xpeng1117@qq.com），压缩文件的名字为 “队伍名.tar.gz”或“队伍名.zip”，队伍名为英文；
** 压缩文件内请严格按照如下目录/文件命名和组织形式（没有参加的子任务忽略即可），方便我们后续处理：
*** subtask1-un-closed/PC-Test.out.conll
*** subtask1-un-closed/PB-Test.out.conll
*** subtask1-un-closed/ZX-Test.out.conll
*** subtask2-semi-closed/PC-Test.out.conll
*** ...
*** subtask3-un-open/PC-Test.out.conll
*** ...
*** subtask4-semi-open/PC-Test.out.conll
*** ...
** 对于任何一个子任务，所有参赛队伍必须提交PC、PB、ZX 3 个目标领域的测试结果。

== 评测结果 ==
*每个subTask的Average_LAS 为对应subtask下3个领域数据LAS的平均值,Average_LAS = (PC_LAS+PB_LAS+ZX_Las)/3
*我们根据Average_LAS 排名，每个subtask的第一名已用红色 标出
*所有参加本次评测的单位都可以撰写“系统报告”文章，结果好的单位“系统报告”文章可以直接按照nlpcc投稿格式撰写，其他的单位也请务必简单的撰写一份report，描述您参加比赛时，使用方法的详细介绍。请大家尽快写完并以PDF格式发到彭雪邮箱（654905417@qq.com）。

{| class="wikitable" style="text-align: center;"
|-
!
! colspan="4" | subtask1-un-closed|| colspan="4" | subtask2-semi-closed || colspan="4" | subtask3-un-open || colspan="4" | subtask4-semi-open
|-
!
! PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS 
|-
| SJ_superLZ ||35.6296/21.3299 ||62.5491/54.3544||50.0359/38.3082||37.9975 ||69.8770/59.4298||77.5249/71.3260||77.8376/71.5517||67.4358||72.0100/63.8807||80.2464/75.7409||82.1659/77.4425||72.3547||72.4018/64.3704||80.7907/76.1340||83.1537/78.6099||73.0381
|-
| PRIS_DP ||39.8193 /26.2705 ||67.3118 /60.4097 ||69.5582 /61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141 ||39.8193/26.2705 || 67.3118 /60.4097 ||69.5582/61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141
|-
|SyntaxError ||49.8204/36.8593||71.4772/65.4294 ||73.9045/66.5409 ||56.2765||72.1841/64.1201||82.5748/77.8273||80.5316/75.8441||72.5972|| || || || || || || ||
|-
| AntNLP ||43.6391/30.4712 ||70.5020/63.8343 ||72.8807/65.0682 ||53.1246 ||72.2277/63.9569 ||81.9398/77.2679 ||79.8851/74.8024 ||72.0091|| || || || || || || ||
|-
| 14yhl9days ||26.7167/10.9152 ||41.4953/27.3813 ||40.4454/26.4368 || 21.5778 ||47.3827/26.2597 ||47.2558/32.8772 ||45.4023/32.0043 ||30.3804|| || || || || || || ||
|-
| BLCU_Parser || || || || ||70.8891/61.7151 ||79.3015/74.2516 ||77.8376 /72.5754||69.5140|| || || || || || || ||
|-
| Nanjing Normal University || || || || || || || || || || || || ||70.9653/61.8239 ||80.5866/75.8542||79.3283/74.3534||70.6772
|-
|}

== 评价脚本下载 ==
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/evaluate.py 评价脚本下载]
** 执行命令：python3 evaluate.py gold.conll sys.conll
** 数据集需要为CoNLL格式，与我们提供的数据集格式相同。

Nlpcc-2019-shared-task

2019-05-30T10:24:35Z

Xpeng：/* 评测结果 */

== News （最新消息） ==
* 2019.5.15：发布最新测试数据（无答案）
* 2019.5.20：提交结果deadline

== NLPCC-2019依存句法分析领域移植评测 ==
* [http://tcci.ccf.org.cn/conference/2019/cfpt.php NLPCC-2019评测页面]
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/cfp-v2.0.pdf 我们的参赛邀请函pdf]

== 苏州大学汉语依存树库（SUCDT）标注情况介绍 ==
* [http://hlt.suda.edu.cn/index.php/SUCDT 网址]

==数据使用协议==

* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/sucdt-share-2019.4.3.v2.doc 标注数据使用协议下载]（团队负责人签字，如果是公司，必须是公司法人签字）
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/alibaba-unlabeled-data-share-2019.4.4.doc 无标注数据使用协议下载] (机构、学院、学校或公司盖章）
* 请仔细阅读两个协议，并根据要求签署两个协议，然后统一发邮件给彭雪同学
* 请用机构的官方邮箱发送协议
** 由于版权保护问题，我们只面向机构、单位等团体开放数据；对于公司，我们仅面向从事句法分析研究的公司开放数据，签署协议前请先咨询我们是否有可能共享数据；解释权归我们课题组。
** 如果您不需要无标注数据，那么只需要签署标注数据使用协议。
* 您还需要将[http://tcci.ccf.org.cn/conference/2019/dldoc/SharedTaskRegistrationForm.docx NLPCC评测报名表]发送给NLPCC评测组织方，也请同时发给彭雪同学。

== 评测数据下载 ==
* [http://hlt.suda.edu.cn/index.php/Nlpcc-2019-shared-task-Readme 数据说明Readme]
* 训练集/开发集/无标注数据
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/train_dev_2019.4.8.zip 训练集开发集数据下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/unlabeled_2019.4.8.zip 无标注数据下载]
** 解压密码，我们收到数据使用协议后回复邮件告知
* 测试集数据 
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/test_2019.5.15.zip 无答案测试集数据下载]
** 无答案测试集密码与“训练集开发集数据”解压密码相同
* 预训练词向量下载：我们分别提供了50维、100维、300维的预训练词向量：
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding50.zip 50维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding100.zip 100维下载]
** [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/word_embedding300.zip 300维下载]

== 结果提交（2019.5.25 deadline） ==
*请在2019年5月25日23：59之前提交您的最终结果，您在提交时请注意以下几点
** 测试结果文件请参考 Dev 数据及 Readme，确保每个文件严格采用 CoNLL 格式；
** 测试结果文件中除了包含原有的信息外，还需要在对应列给出您预测出的对应词的核心词head及其依存关系标签label；
** 提交结果时，请将所有测试结果文件打包成一个压缩文件后（zip/tar.gz）发送给彭雪同学（xpeng1117@qq.com），压缩文件的名字为 “队伍名.tar.gz”或“队伍名.zip”，队伍名为英文；
** 压缩文件内请严格按照如下目录/文件命名和组织形式（没有参加的子任务忽略即可），方便我们后续处理：
*** subtask1-un-closed/PC-Test.out.conll
*** subtask1-un-closed/PB-Test.out.conll
*** subtask1-un-closed/ZX-Test.out.conll
*** subtask2-semi-closed/PC-Test.out.conll
*** ...
*** subtask3-un-open/PC-Test.out.conll
*** ...
*** subtask4-semi-open/PC-Test.out.conll
*** ...
** 对于任何一个子任务，所有参赛队伍必须提交PC、PB、ZX 3 个目标领域的测试结果。

== 评测结果 ==
*每个subTask的Average_LAS 为对应subtask下3个领域数据LAS的平均值,Average_LAS = (PC_LAS+PB_LAS+ZX_Las)/3
*我们根据Average_LAS 排名，每个subtask的第一名已用红色 标出
*所有参加本次评测的单位都可以撰写“系统报告”文章，如果不想写正式的“系统报告”文章，也请务必简单的撰写一份您参加比赛时，使用方法的详细介绍。请大家尽快写完并以PDF格式发到彭雪邮箱（654905417@qq.com）。

{| class="wikitable" style="text-align: center;"
|-
!
! colspan="4" | subtask1-un-closed|| colspan="4" | subtask2-semi-closed || colspan="4" | subtask3-un-open || colspan="4" | subtask4-semi-open
|-
!
! PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) || Average_LAS || PC(UAS/LAS) ||PB(UAS/LAS) || ZX(UAS/LAS) ||Average_LAS 
|-
| SJ_superLZ ||35.6296/21.3299 ||62.5491/54.3544||50.0359/38.3082||37.9975 ||69.8770/59.4298||77.5249/71.3260||77.8376/71.5517||67.4358||72.0100/63.8807||80.2464/75.7409||82.1659/77.4425||72.3547||72.4018/64.3704||80.7907/76.1340||83.1537/78.6099||73.0381
|-
| PRIS_DP ||39.8193 /26.2705 ||67.3118 /60.4097 ||69.5582 /61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141 ||39.8193/26.2705 || 67.3118 /60.4097 ||69.5582/61.5122 ||49.3975 ||69.3003/60.3548 ||77.3738/72.1046 ||74.3534/68.2830 ||66.9141
|-
|SyntaxError ||49.8204/36.8593||71.4772/65.4294 ||73.9045/66.5409 ||56.2765||72.1841/64.1201||82.5748/77.8273||80.5316/75.8441||72.5972|| || || || || || || ||
|-
| AntNLP ||43.6391/30.4712 ||70.5020/63.8343 ||72.8807/65.0682 ||53.1246 ||72.2277/63.9569 ||81.9398/77.2679 ||79.8851/74.8024 ||72.0091|| || || || || || || ||
|-
| 14yhl9days ||26.7167/10.9152 ||41.4953/27.3813 ||40.4454/26.4368 || 21.5778 ||47.3827/26.2597 ||47.2558/32.8772 ||45.4023/32.0043 ||30.3804|| || || || || || || ||
|-
| BLCU_Parser || || || || ||70.8891/61.7151 ||79.3015/74.2516 ||77.8376 /72.5754||69.5140|| || || || || || || ||
|-
| Nanjing Normal University || || || || || || || || || || || || ||70.9653/61.8239 ||80.5866/75.8542||79.3283/74.3534||70.6772
|-
|}

== 评价脚本下载 ==
* [http://hlt.suda.edu.cn/~zhli/nlpcc2019-shared-task/evaluate.py 评价脚本下载]
** 执行命令：python3 evaluate.py gold.conll sys.conll
** 数据集需要为CoNLL格式，与我们提供的数据集格式相同。