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	<title>SUDA-HLT - 用户贡献 [zh-cn]</title>
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	<updated>2026-09-21T03:46:36Z</updated>
	<subtitle>用户贡献</subtitle>
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	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0EMNLP-2017&amp;diff=360</id>
		<title>Suda-HLT派员参加EMNLP-2017</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0EMNLP-2017&amp;diff=360"/>
		<updated>2018-04-28T08:47:55Z</updated>

		<summary type="html">&lt;p&gt;Cgong：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
EMNLP是自然语言处理领域重要的国际学术会议，每年举办一次。其论文代表了自然语言处理最新的发展方向和水平。EMNLP-2017于2017年9月7日至9月11日在丹麦哥本哈根召开。EMNLP被CCF列为B类会议（CCF-B）。&lt;br /&gt;
&lt;br /&gt;
苏州大学计算机学院自然语言处理组共有1篇论文被EMNLP-2017录用，第一作者是在读学生龚晨（硕士二年级学生）。龚晨同学前往丹麦参会做现场报告，并和来自于全世界的研究人员交流最新研究进展。论文简介如下：&lt;br /&gt;
&lt;br /&gt;
* Multi-Grained Chinese Word Segmentation&lt;br /&gt;
  作者：龚晨，李正华，张民，江心舟&lt;br /&gt;
内容提要：传统的分词任务普遍为单粒度的形式，即一个句子对应唯一的词语序列。然而，Sproat等人曾通过实验指出以中文为母语的多个标注者在标注同样的语料时，标注一致性仅为76%左右，这表明传统的单粒度分词给人工标注和统计模型都带来了不必要的挑战。同时，具有多种粒度的分词结果能更好地满足不同上层应用的需求。基于这些原因，我们首次提出了中文多粒度分词这个新任务。首先，我们利用现有的三种单粒度分词数据集自动生成了一个大规模的多粒度分词伪数据集用于模型的训练。然后，我们人工标注了1500句多粒度分词数据集用于测试。最后，我们把多粒度分词任务看作短语结构分析和序列标注问题，提出了三种基准方法。实验结果和分析中有很多有趣的发现。&lt;br /&gt;
&lt;br /&gt;
[[File:emnlp2017_1.jpg|800px]]&lt;br /&gt;
&lt;br /&gt;
[[File:emnlp2017_2.jpg|800px]]&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Members&amp;diff=176</id>
		<title>Members</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Members&amp;diff=176"/>
		<updated>2018-01-29T02:40:18Z</updated>

		<summary type="html">&lt;p&gt;Cgong：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== 在校老师 ==&lt;br /&gt;
* 教师：[https://minzhang-riic.weebly.com/ 张民]、[[陈文亮]]、[[段湘煜]]、[http://hlt.suda.edu.cn/~zhli/ 李正华]&lt;br /&gt;
* 科研助理：丁佳莉&lt;br /&gt;
&lt;br /&gt;
== 在校学生 ==&lt;br /&gt;
* 2014博：王星&lt;br /&gt;
&lt;br /&gt;
* 2016博：李亚超&lt;br /&gt;
&lt;br /&gt;
* 2017博：[[郁俊杰]]、[[李英]]、[[宋楷]]&lt;br /&gt;
&lt;br /&gt;
* 2015硕：[[卢奇]]、[[陈伟]]、[[凡子威]]、[[张月]]&lt;br /&gt;
&lt;br /&gt;
* 2016硕：[[何正球]]、[[杨耀晟]]、[http://hlt.suda.edu.cn/gongchen/ 龚晨]、[[郭丽娟]]、[[孙佳伟]]、[[夏庆荣]]、[[朱运]]、[[汪琪]]、[[王坤]]&lt;br /&gt;
&lt;br /&gt;
* 2017硕：郁圣卫、张栋、[https://limkim.github.io/ 杨一帆]、[http://hlt.suda.edu.cn/KG/zkzhu/ 朱宗奎]、[http://hlt.suda.edu.cn/KG/jzzhou/ 周俊佐]、黄德朋、[http://hlt.suda.edu.cn/LA/xzjiang/ 江心舟]、彭雪、[http://hlt.suda.edu.cn/bozhang/ 章波]、谭敏、周孝青、殷明明、俞鸿飞&lt;br /&gt;
&lt;br /&gt;
* 访问学生：秦彦霞（哈工大博）、杨明明（哈工大博）&lt;br /&gt;
&lt;br /&gt;
== 毕业学生(去向) ==&lt;br /&gt;
* 2014硕（2017年6月）：陈志鹏（百度公司）、郁俊杰（苏大读博）、巢佳媛（阿里巴巴公司）、龚慧敏（同程公司）&lt;br /&gt;
&lt;br /&gt;
* 2013硕（2016年6月）：马春平（阿里巴巴公司）&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0IJCNLP-2017&amp;diff=157</id>
		<title>Suda-HLT派员参加IJCNLP-2017</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0IJCNLP-2017&amp;diff=157"/>
		<updated>2018-01-25T07:40:08Z</updated>

		<summary type="html">&lt;p&gt;Cgong：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
IJCNLP是自然语言处理领域的国际学术会议，每两年举办一次。IJCNLP-2017于2017年11月27日至12月1日在台湾召开。&lt;br /&gt;
&lt;br /&gt;
苏州大学计算机学院自然语言处理组共有1篇论文被IJCNLP-2017录用，第一作者是在读学生张月（硕士三年级学生）。张月同学与李正华老师前往台湾参会做现场报告，并和来自于全世界的研究人员交流最新研究进展。论文简介如下：&lt;br /&gt;
&lt;br /&gt;
* Dependency Parsing with Partial Annotations: An Empirical Comparison&lt;br /&gt;
  作者：张月 李正华 郎君 夏庆荣 张民&lt;br /&gt;
内容提要：这篇文章介绍并比较了基于局部标注数据的句法分析的两种训练方式。第一种是，针对两个CRF句法分析器：基于图的双仿射的神经网络句法分析器（Biaffine）和传统的基于图的对数线性分析器（LLGPar），基于森林的训练目标。第二种方式是针对传统的基于图的线性句法分析器（LGPar）、基于转移的全局归一化神经网络分析器（GN3Par）和传统的基于转移的线性模型（LTPar），基于约束解码的训练方法。在测试阶段，约束解码也适用于将局部句法树补充完整。我们在Penn Treebank数据进行实验，并通过三种不同的方式模拟得到局部标注数据，分别是随机选择任务、选择最不确定的任务和选择分析器的输出中不一致的任务。实验结果表明，LLGPar在局部标注数据上直接学习，表现最好，而将局部标注数据进行补全后，其他几个句法分析器可以得到比较好的性能。&lt;br /&gt;
&lt;br /&gt;
[[File:ijcnlp2017.jpg|800px]]&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0IJCNLP-2017&amp;diff=156</id>
		<title>Suda-HLT派员参加IJCNLP-2017</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0IJCNLP-2017&amp;diff=156"/>
		<updated>2018-01-25T07:39:58Z</updated>

		<summary type="html">&lt;p&gt;Cgong：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
IJCNLP是自然语言处理领域的国际学术会议，每两年举办一次。IJCNLP-2017于2017年11月27日至12月1日在台湾召开。&lt;br /&gt;
&lt;br /&gt;
苏州大学计算机学院自然语言处理组共有1篇论文被IJCNLP-2017录用，第一作者是在读学生张月（硕士三年级学生）。张月同学与李正华老师前往台湾参会做现场报告，并和来自于全世界的研究人员交流最新研究进展。论文简介如下：&lt;br /&gt;
&lt;br /&gt;
* Dependency Parsing with Partial Annotations: An Empirical Comparison&lt;br /&gt;
  作者：张月 李正华 郎君 夏庆荣 张民&lt;br /&gt;
内容提要：这篇文章介绍并比较了基于局部标注数据的句法分析的两种训练方式。第一种是，针对两个CRF句法分析器：基于图的双仿射的神经网络句法分析器（Biaffine）和传统的基于图的对数线性分析器（LLGPar），基于森林的训练目标。第二种方式是针对传统的基于图的线性句法分析器（LGPar）、基于转移的全局归一化神经网络分析器（GN3Par）和传统的基于转移的线性模型（LTPar），基于约束解码的训练方法。在测试阶段，约束解码也适用于将局部句法树补充完整。我们在Penn Treebank数据进行实验，并通过三种不同的方式模拟得到局部标注数据，分别是随机选择任务、选择最不确定的任务和选择分析器的输出中不一致的任务。实验结果表明，LLGPar在局部标注数据上直接学习，表现最好，而将局部标注数据进行补全后，其他几个句法分析器可以得到比较好的性能。&lt;br /&gt;
&lt;br /&gt;
[[File:ijcnlp2017_1.jpg|800px]]&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=%E6%96%87%E4%BB%B6:Ijcnlp2017.jpg&amp;diff=155</id>
		<title>文件:Ijcnlp2017.jpg</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=%E6%96%87%E4%BB%B6:Ijcnlp2017.jpg&amp;diff=155"/>
		<updated>2018-01-25T07:39:17Z</updated>

		<summary type="html">&lt;p&gt;Cgong：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0EMNLP-2017&amp;diff=154</id>
		<title>Suda-HLT派员参加EMNLP-2017</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0EMNLP-2017&amp;diff=154"/>
		<updated>2018-01-25T07:24:58Z</updated>

		<summary type="html">&lt;p&gt;Cgong：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
EMNLP是自然语言处理领域重要的国际学术会议，每年举办一次。其论文代表了自然语言处理最新的发展方向和水平。EMNLP-2017于2017年9月7日至9月11日在丹麦哥本哈根召开。EMNLP被CCF列为B类会议（CCF-B）。&lt;br /&gt;
&lt;br /&gt;
苏州大学计算机学院自然语言处理组共有1篇论文被EMNLP-217录用，第一作者是在读学生龚晨（硕士二年级学生）。龚晨同学前往丹麦参会做现场报告，并和来自于全世界的研究人员交流最新研究进展。论文简介如下：&lt;br /&gt;
&lt;br /&gt;
* Multi-Grained Chinese Word Segmentation&lt;br /&gt;
  作者：龚晨，李正华，张民，江心舟&lt;br /&gt;
内容提要：传统的分词任务普遍为单粒度的形式，即一个句子对应唯一的词语序列。然而，Sproat等人曾通过实验指出以中文为母语的多个标注者在标注同样的语料时，标注一致性仅为76%左右，这表明传统的单粒度分词给人工标注和统计模型都带来了不必要的挑战。同时，具有多种粒度的分词结果能更好地满足不同上层应用的需求。基于这些原因，我们首次提出了中文多粒度分词这个新任务。首先，我们利用现有的三种单粒度分词数据集自动生成了一个大规模的多粒度分词伪数据集用于模型的训练。然后，我们人工标注了1500句多粒度分词数据集用于测试。最后，我们把多粒度分词任务看作短语结构分析和序列标注问题，提出了三种基准方法。实验结果和分析中有很多有趣的发现。&lt;br /&gt;
&lt;br /&gt;
[[File:emnlp2017_1.jpg|800px]]&lt;br /&gt;
&lt;br /&gt;
[[File:emnlp2017_2.jpg|800px]]&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=%E6%96%87%E4%BB%B6:Emnlp2017_2.jpg&amp;diff=153</id>
		<title>文件:Emnlp2017 2.jpg</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=%E6%96%87%E4%BB%B6:Emnlp2017_2.jpg&amp;diff=153"/>
		<updated>2018-01-25T07:20:10Z</updated>

		<summary type="html">&lt;p&gt;Cgong：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=%E6%96%87%E4%BB%B6:Emnlp2017_1.jpg&amp;diff=152</id>
		<title>文件:Emnlp2017 1.jpg</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=%E6%96%87%E4%BB%B6:Emnlp2017_1.jpg&amp;diff=152"/>
		<updated>2018-01-25T07:19:45Z</updated>

		<summary type="html">&lt;p&gt;Cgong：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0IJCNLP-2017&amp;diff=141</id>
		<title>Suda-HLT派员参加IJCNLP-2017</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0IJCNLP-2017&amp;diff=141"/>
		<updated>2018-01-24T10:36:48Z</updated>

		<summary type="html">&lt;p&gt;Cgong：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
IJCNLP是自然语言处理领域的国际学术会议，每两年举办一次。IJCNLP-2017于2017年11月27日至12月1日在台湾召开。&lt;br /&gt;
&lt;br /&gt;
苏州大学计算机学院自然语言处理组共有1篇论文被IJCNLP-2017录用，第一作者是在读学生张月（硕士三年级学生）。张月同学与李正华老师前往台湾参会做现场报告，并和来自于全世界的研究人员交流最新研究进展。论文简介如下：&lt;br /&gt;
&lt;br /&gt;
* Dependency Parsing with Partial Annotations: An Empirical Comparison&lt;br /&gt;
  作者：张月 李正华 郎君 夏庆荣 张民&lt;br /&gt;
内容提要：这篇文章介绍并比较了基于局部标注数据的句法分析的两种训练方式。第一种是，针对两个CRF句法分析器：基于图的双仿射的神经网络句法分析器（Biaffine）和传统的基于图的对数线性分析器（LLGPar），基于森林的训练目标。第二种方式是针对传统的基于图的线性句法分析器（LGPar）、基于转移的全局归一化神经网络分析器（GN3Par）和传统的基于转移的线性模型（LTPar），基于约束解码的训练方法。在测试阶段，约束解码也适用于将局部句法树补充完整。我们在Penn Treebank数据进行实验，并通过三种不同的方式模拟得到局部标注数据，分别是随机选择任务、选择最不确定的任务和选择分析器的输出中不一致的任务。实验结果表明，LLGPar在局部标注数据上直接学习，表现最好，而将局部标注数据进行补全后，其他几个句法分析器可以得到比较好的性能。&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0IJCNLP-2017&amp;diff=140</id>
		<title>Suda-HLT派员参加IJCNLP-2017</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0IJCNLP-2017&amp;diff=140"/>
		<updated>2018-01-24T10:36:30Z</updated>

		<summary type="html">&lt;p&gt;Cgong：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
IJCNLP是自然语言处理领域的国际学术会议，每两年举办一次。IJCNLP-2017于2017年11月27日至12月1日在台湾召开。&lt;br /&gt;
&lt;br /&gt;
苏州大学计算机学院自然语言处理组共有1篇论文被IJCNLP-217录用，第一作者是在读学生张月（硕士三年级学生）。张月同学与李正华老师前往台湾参会做现场报告，并和来自于全世界的研究人员交流最新研究进展。论文简介如下：&lt;br /&gt;
&lt;br /&gt;
* Dependency Parsing with Partial Annotations: An Empirical Comparison&lt;br /&gt;
  作者：张月 李正华 郎君 夏庆荣 张民&lt;br /&gt;
内容提要：这篇文章介绍并比较了基于局部标注数据的句法分析的两种训练方式。第一种是，针对两个CRF句法分析器：基于图的双仿射的神经网络句法分析器（Biaffine）和传统的基于图的对数线性分析器（LLGPar），基于森林的训练目标。第二种方式是针对传统的基于图的线性句法分析器（LGPar）、基于转移的全局归一化神经网络分析器（GN3Par）和传统的基于转移的线性模型（LTPar），基于约束解码的训练方法。在测试阶段，约束解码也适用于将局部句法树补充完整。我们在Penn Treebank数据进行实验，并通过三种不同的方式模拟得到局部标注数据，分别是随机选择任务、选择最不确定的任务和选择分析器的输出中不一致的任务。实验结果表明，LLGPar在局部标注数据上直接学习，表现最好，而将局部标注数据进行补全后，其他几个句法分析器可以得到比较好的性能。&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0IJCNLP-2017&amp;diff=139</id>
		<title>Suda-HLT派员参加IJCNLP-2017</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0IJCNLP-2017&amp;diff=139"/>
		<updated>2018-01-24T10:34:18Z</updated>

		<summary type="html">&lt;p&gt;Cgong：创建页面，内容为“ EMNLP是自然语言处理领域重要的国际学术会议，每年举办一次。其论文代表了自然语言处理最新的发展方向和水平。EMNLP-2017...”&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
EMNLP是自然语言处理领域重要的国际学术会议，每年举办一次。其论文代表了自然语言处理最新的发展方向和水平。EMNLP-2017于2017年9月7日至9月11日在丹麦哥本哈根召开。EMNLP被CCF列为B类会议（CCF-B）。&lt;br /&gt;
&lt;br /&gt;
苏州大学计算机学院自然语言处理组共有1篇论文被EMNLP-217录用，第一作者是在读学生龚晨（硕士二年级学生）。龚晨同学前往丹麦参会做现场报告，并和来自于全世界的研究人员交流最新研究进展。论文简介如下：&lt;br /&gt;
&lt;br /&gt;
* Multi-Grained Chinese Word Segmentation&lt;br /&gt;
  作者：龚晨，李正华，张民，江心舟&lt;br /&gt;
内容提要：传统的分词任务普遍为单粒度的形式，即一个句子对应唯一的词语序列。然而，Sproat等人曾通过实验指出以中文为母语的多个标注者在标注同样的语料时，标注一致性仅为76%左右，这表明传统的单粒度分词给人工标注和统计模型都带来了不必要的挑战。同时，具有多种粒度的分词结果能更好地满足不同上层应用的需求。基于这些原因，我们首次提出了中文多粒度分词这个新任务。首先，我们利用现有的三种单粒度分词数据集自动生成了一个大规模的多粒度分词伪数据集用于模型的训练。然后，我们人工标注了1500句多粒度分词数据集用于测试。最后，我们把多粒度分词任务看作短语结构分析和序列标注问题，提出了三种基准方法。实验结果和分析中有很多有趣的发现。&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0EMNLP-2017&amp;diff=137</id>
		<title>Suda-HLT派员参加EMNLP-2017</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Suda-HLT%E6%B4%BE%E5%91%98%E5%8F%82%E5%8A%A0EMNLP-2017&amp;diff=137"/>
		<updated>2018-01-24T09:11:58Z</updated>

		<summary type="html">&lt;p&gt;Cgong：创建页面，内容为“ EMNLP是自然语言处理领域重要的国际学术会议，每年举办一次。其论文代表了自然语言处理最新的发展方向和水平。EMNLP-2017...”&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
EMNLP是自然语言处理领域重要的国际学术会议，每年举办一次。其论文代表了自然语言处理最新的发展方向和水平。EMNLP-2017于2017年9月7日至9月11日在丹麦哥本哈根召开。EMNLP被CCF列为B类会议（CCF-B）。&lt;br /&gt;
&lt;br /&gt;
苏州大学计算机学院自然语言处理组共有1篇论文被EMNLP-217录用，第一作者是在读学生龚晨（硕士二年级学生）。龚晨同学前往丹麦参会做现场报告，并和来自于全世界的研究人员交流最新研究进展。论文简介如下：&lt;br /&gt;
&lt;br /&gt;
* Multi-Grained Chinese Word Segmentation&lt;br /&gt;
  作者：龚晨，李正华，张民，江心舟&lt;br /&gt;
内容提要：传统的分词任务普遍为单粒度的形式，即一个句子对应唯一的词语序列。然而，Sproat等人曾通过实验指出以中文为母语的多个标注者在标注同样的语料时，标注一致性仅为76%左右，这表明传统的单粒度分词给人工标注和统计模型都带来了不必要的挑战。同时，具有多种粒度的分词结果能更好地满足不同上层应用的需求。基于这些原因，我们首次提出了中文多粒度分词这个新任务。首先，我们利用现有的三种单粒度分词数据集自动生成了一个大规模的多粒度分词伪数据集用于模型的训练。然后，我们人工标注了1500句多粒度分词数据集用于测试。最后，我们把多粒度分词任务看作短语结构分析和序列标注问题，提出了三种基准方法。实验结果和分析中有很多有趣的发现。&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=105</id>
		<title>Papers</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=105"/>
		<updated>2018-01-23T06:53:15Z</updated>

		<summary type="html">&lt;p&gt;Cgong：/* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;主要文章：ACL/EMNLP/COLING/IJCNLP/IJCAI/AAAI+CCF-A+CCF-B+SCI&lt;br /&gt;
== 最新录用 ==&lt;br /&gt;
* YaoSheng  Yang, Meishan  Zhang, Wenliang  Chen*, Haofen  Wang, Wei  Zhang, Min  Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, AAAI-2018 (Accepted)  [https://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
* Zhengqiu He,  Wenliang  Chen*, Zhenghua  Li, Meishan  Zhang, Wei  Zhang, Min  Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI-2018 (Accepted) [http://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* 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&lt;br /&gt;
 &lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* 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. &lt;br /&gt;
&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.&lt;br /&gt;
&lt;br /&gt;
== 更古老 ==&lt;br /&gt;
&lt;br /&gt;
* 请查看各位成员的主页&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 参考格式 ==&lt;br /&gt;
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
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] &lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用&lt;br /&gt;
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=104</id>
		<title>Papers</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=104"/>
		<updated>2018-01-23T06:52:10Z</updated>

		<summary type="html">&lt;p&gt;Cgong：/* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;主要文章：ACL/EMNLP/COLING/IJCNLP/IJCAI/AAAI+CCF-A+CCF-B+SCI&lt;br /&gt;
== 最新录用 ==&lt;br /&gt;
* YaoSheng  Yang, Meishan  Zhang, Wenliang  Chen*, Haofen  Wang, Wei  Zhang, Min  Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, AAAI-2018 (Accepted)  [https://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
* Zhengqiu He,  Wenliang  Chen*, Zhenghua  Li, Meishan  Zhang, Wei  Zhang, Min  Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI-2018 (Accepted) [http://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* 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&lt;br /&gt;
 &lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* 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. &lt;br /&gt;
&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.&lt;br /&gt;
&lt;br /&gt;
== 更古老 ==&lt;br /&gt;
&lt;br /&gt;
* 请查看各位成员的主页&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 参考格式 ==&lt;br /&gt;
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
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] &lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用&lt;br /&gt;
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=103</id>
		<title>Papers</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=103"/>
		<updated>2018-01-23T06:50:48Z</updated>

		<summary type="html">&lt;p&gt;Cgong：/* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;主要文章：ACL/EMNLP/COLING/IJCNLP/IJCAI/AAAI+CCF-A+CCF-B+SCI&lt;br /&gt;
== 最新录用 ==&lt;br /&gt;
* YaoSheng  Yang, Meishan  Zhang, Wenliang  Chen*, Haofen  Wang, Wei  Zhang, Min  Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, AAAI-2018 (Accepted)  [https://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
* Zhengqiu He,  Wenliang  Chen*, Zhenghua  Li, Meishan  Zhang, Wei  Zhang, Min  Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI-2018 (Accepted) [http://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* 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&lt;br /&gt;
 &lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* 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. &lt;br /&gt;
&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.&lt;br /&gt;
&lt;br /&gt;
== 更古老 ==&lt;br /&gt;
&lt;br /&gt;
* 请查看各位成员的主页&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 参考格式 ==&lt;br /&gt;
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
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] &lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用&lt;br /&gt;
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=102</id>
		<title>Papers</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=102"/>
		<updated>2018-01-23T06:50:28Z</updated>

		<summary type="html">&lt;p&gt;Cgong：/* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;主要文章：ACL/EMNLP/COLING/IJCNLP/IJCAI/AAAI+CCF-A+CCF-B+SCI&lt;br /&gt;
== 最新录用 ==&lt;br /&gt;
* YaoSheng  Yang, Meishan  Zhang, Wenliang  Chen*, Haofen  Wang, Wei  Zhang, Min  Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, AAAI-2018 (Accepted)  [https://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
* Zhengqiu He,  Wenliang  Chen*, Zhenghua  Li, Meishan  Zhang, Wei  Zhang, Min  Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI-2018 (Accepted) [http://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* 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&lt;br /&gt;
 &lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* 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. &lt;br /&gt;
&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.&lt;br /&gt;
&lt;br /&gt;
== 更古老 ==&lt;br /&gt;
&lt;br /&gt;
* 请查看各位成员的主页&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 参考格式 ==&lt;br /&gt;
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
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] &lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用&lt;br /&gt;
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=101</id>
		<title>Papers</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=101"/>
		<updated>2018-01-23T06:49:56Z</updated>

		<summary type="html">&lt;p&gt;Cgong：/* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;主要文章：ACL/EMNLP/COLING/IJCNLP/IJCAI/AAAI+CCF-A+CCF-B+SCI&lt;br /&gt;
== 最新录用 ==&lt;br /&gt;
* YaoSheng  Yang, Meishan  Zhang, Wenliang  Chen*, Haofen  Wang, Wei  Zhang, Min  Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, AAAI-2018 (Accepted)  [https://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
* Zhengqiu He,  Wenliang  Chen*, Zhenghua  Li, Meishan  Zhang, Wei  Zhang, Min  Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI-2018 (Accepted) [http://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* 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&lt;br /&gt;
 &lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* 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. &lt;br /&gt;
&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.&lt;br /&gt;
&lt;br /&gt;
== 更古老 ==&lt;br /&gt;
&lt;br /&gt;
* 请查看各位成员的主页&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 参考格式 ==&lt;br /&gt;
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
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] &lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用&lt;br /&gt;
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=100</id>
		<title>Papers</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=100"/>
		<updated>2018-01-23T05:35:40Z</updated>

		<summary type="html">&lt;p&gt;Cgong：/* 2016 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;主要文章：ACL/EMNLP/COLING/IJCNLP/IJCAI/AAAI+CCF-A+CCF-B+SCI&lt;br /&gt;
== 最新录用 ==&lt;br /&gt;
* YaoSheng  Yang, Meishan  Zhang, Wenliang  Chen*, Haofen  Wang, Wei  Zhang, Min  Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, AAAI-2018 (Accepted)  [https://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
* Zhengqiu He,  Wenliang  Chen*, Zhenghua  Li, Meishan  Zhang, Wei  Zhang, Min  Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI-2018 (Accepted) [http://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* 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&lt;br /&gt;
 &lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* 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. &lt;br /&gt;
&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.&lt;br /&gt;
&lt;br /&gt;
== 更古老 ==&lt;br /&gt;
&lt;br /&gt;
* 请查看各位成员的主页&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 参考格式 ==&lt;br /&gt;
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
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] &lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用&lt;br /&gt;
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=99</id>
		<title>Papers</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=99"/>
		<updated>2018-01-23T05:34:27Z</updated>

		<summary type="html">&lt;p&gt;Cgong：/* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;主要文章：ACL/EMNLP/COLING/IJCNLP/IJCAI/AAAI+CCF-A+CCF-B+SCI&lt;br /&gt;
== 最新录用 ==&lt;br /&gt;
* YaoSheng  Yang, Meishan  Zhang, Wenliang  Chen*, Haofen  Wang, Wei  Zhang, Min  Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, AAAI-2018 (Accepted)  [https://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
* Zhengqiu He,  Wenliang  Chen*, Zhenghua  Li, Meishan  Zhang, Wei  Zhang, Min  Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI-2018 (Accepted) [http://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* 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&lt;br /&gt;
 &lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* 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. &lt;br /&gt;
&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.&lt;br /&gt;
&lt;br /&gt;
== 更古老 ==&lt;br /&gt;
&lt;br /&gt;
* 请查看各位成员的主页&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 参考格式 ==&lt;br /&gt;
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
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] &lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用&lt;br /&gt;
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=98</id>
		<title>Papers</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=98"/>
		<updated>2018-01-23T05:32:22Z</updated>

		<summary type="html">&lt;p&gt;Cgong：/* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;主要文章：ACL/EMNLP/COLING/IJCNLP/IJCAI/AAAI+CCF-A+CCF-B+SCI&lt;br /&gt;
== 最新录用 ==&lt;br /&gt;
* YaoSheng  Yang, Meishan  Zhang, Wenliang  Chen*, Haofen  Wang, Wei  Zhang, Min  Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, AAAI-2018 (Accepted)  [https://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
* Zhengqiu He,  Wenliang  Chen*, Zhenghua  Li, Meishan  Zhang, Wei  Zhang, Min  Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI-2018 (Accepted) [http://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* 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]&lt;br /&gt;
* 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.&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* 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&lt;br /&gt;
 &lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* 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. &lt;br /&gt;
&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.&lt;br /&gt;
&lt;br /&gt;
== 更古老 ==&lt;br /&gt;
&lt;br /&gt;
* 请查看各位成员的主页&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 参考格式 ==&lt;br /&gt;
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
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] &lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用&lt;br /&gt;
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=97</id>
		<title>Papers</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=97"/>
		<updated>2018-01-23T05:28:53Z</updated>

		<summary type="html">&lt;p&gt;Cgong：/* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;主要文章：ACL/EMNLP/COLING/IJCNLP/IJCAI/AAAI+CCF-A+CCF-B+SCI&lt;br /&gt;
== 最新录用 ==&lt;br /&gt;
* YaoSheng  Yang, Meishan  Zhang, Wenliang  Chen*, Haofen  Wang, Wei  Zhang, Min  Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, AAAI-2018 (Accepted)  [https://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
* Zhengqiu He,  Wenliang  Chen*, Zhenghua  Li, Meishan  Zhang, Wei  Zhang, Min  Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI-2018 (Accepted) [http://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* 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]&lt;br /&gt;
* 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.&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* 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&lt;br /&gt;
 &lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* 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. &lt;br /&gt;
&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.&lt;br /&gt;
&lt;br /&gt;
== 更古老 ==&lt;br /&gt;
&lt;br /&gt;
* 请查看各位成员的主页&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 参考格式 ==&lt;br /&gt;
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
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] &lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用&lt;br /&gt;
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=96</id>
		<title>Papers</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=96"/>
		<updated>2018-01-23T05:28:01Z</updated>

		<summary type="html">&lt;p&gt;Cgong：/* 2017 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;主要文章：ACL/EMNLP/COLING/IJCNLP/IJCAI/AAAI+CCF-A+CCF-B+SCI&lt;br /&gt;
== 最新录用 ==&lt;br /&gt;
* YaoSheng  Yang, Meishan  Zhang, Wenliang  Chen*, Haofen  Wang, Wei  Zhang, Min  Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, AAAI-2018 (Accepted)  [https://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
* Zhengqiu He,  Wenliang  Chen*, Zhenghua  Li, Meishan  Zhang, Wei  Zhang, Min  Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI-2018 (Accepted) [http://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* 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]&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* 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&lt;br /&gt;
 &lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* 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. &lt;br /&gt;
&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.&lt;br /&gt;
&lt;br /&gt;
== 更古老 ==&lt;br /&gt;
&lt;br /&gt;
* 请查看各位成员的主页&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 参考格式 ==&lt;br /&gt;
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
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] &lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用&lt;br /&gt;
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
	<entry>
		<id>http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=95</id>
		<title>Papers</title>
		<link rel="alternate" type="text/html" href="http://hlt.suda.edu.cn/index.php?title=Papers&amp;diff=95"/>
		<updated>2018-01-23T05:27:07Z</updated>

		<summary type="html">&lt;p&gt;Cgong：/* 2016 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;主要文章：ACL/EMNLP/COLING/IJCNLP/IJCAI/AAAI+CCF-A+CCF-B+SCI&lt;br /&gt;
== 最新录用 ==&lt;br /&gt;
* YaoSheng  Yang, Meishan  Zhang, Wenliang  Chen*, Haofen  Wang, Wei  Zhang, Min  Zhang. Adversarial Learning for Chinese NER from Crowd Annotations, AAAI-2018 (Accepted)  [https://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
* Zhengqiu He,  Wenliang  Chen*, Zhenghua  Li, Meishan  Zhang, Wei  Zhang, Min  Zhang. SEE: Syntax-aware Entity Embedding for Neural Relation Extraction, AAAI-2018 (Accepted) [http://arxiv.org/abs/1801.03603 PDF]&lt;br /&gt;
&lt;br /&gt;
== 2017 ==&lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
== 2016 ==&lt;br /&gt;
* 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&lt;br /&gt;
 &lt;br /&gt;
* 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] &lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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), pp. 753-762. Austin, Texas, USA, 1-5 Nov. 2016&lt;br /&gt;
&lt;br /&gt;
== 2015 ==&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
== 2014 ==&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
* 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]&lt;br /&gt;
== 2013 ==&lt;br /&gt;
* 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. &lt;br /&gt;
&lt;br /&gt;
* 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.&lt;br /&gt;
&lt;br /&gt;
* Xiangyu Duan, Min Zhang, Wenliang Chen. Smoothing for Bracketing Induction. In Proc. of IJCAI2013, pp 2085-2091, Beijing, China, August 2013.&lt;br /&gt;
&lt;br /&gt;
== 更古老 ==&lt;br /&gt;
&lt;br /&gt;
* 请查看各位成员的主页&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 参考格式 ==&lt;br /&gt;
期刊格式：[作者列表]. [题目]. [期刊名], [卷号(期):起止页码], [年份][J]&lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
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] &lt;br /&gt;
* 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]&lt;br /&gt;
&lt;br /&gt;
录用格式：[作者列表]. [题目]. [期刊名/会议名], 已录用&lt;br /&gt;
* Wenliang Chen. Feature Embedding for Dependency Parsing. CCL-2017, 已录用&lt;/div&gt;</summary>
		<author><name>Cgong</name></author>
	</entry>
</feed>