“Acl-2022-talks”的版本间的差异
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== 交流会1：计划3月28日（周一）18:30-20:30 腾讯会议 == | == 交流会1：计划3月28日（周一）18:30-20:30 腾讯会议 == | ||
* 李正华主持；博士生周厚全协调组织 | * 李正华主持；博士生周厚全协调组织 | ||
| − | * Nan Yu, Meishan Zhang, Guohong Fu, Min Zhang. RST Discourse Parsing with EDU-Level | + | * Nan Yu, Meishan Zhang, Guohong Fu, Min Zhang. RST Discourse Parsing with Second-Stage EDU-Level Pre-training. (main conference, long paper) |
* Ying Li, Shuaike Li, Min Zhang. Semi-supervised Domain Adaptation for Dependency Parsing with Dynamic Matching Network. (main conference, long paper) | * Ying Li, Shuaike Li, Min Zhang. Semi-supervised Domain Adaptation for Dependency Parsing with Dynamic Matching Network. (main conference, long paper) | ||
* 姜晓彤，赵青青，龙云飞，王中卿. Chinese Synesthesia Detection: New Dataset and Models (中文通感语料与检测模型构建). (findings, long paper) | * 姜晓彤，赵青青，龙云飞，王中卿. Chinese Synesthesia Detection: New Dataset and Models (中文通感语料与检测模型构建). (findings, long paper) | ||
* Houquan Zhou, Yang Li, Zhenghua Li, Min Zhang. Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging. (findings, long paper) [http://hlt.suda.edu.cn/LA/papers/acl-findings-hqzhou-bridging.pdf pdf] | * Houquan Zhou, Yang Li, Zhenghua Li, Min Zhang. Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging. (findings, long paper) [http://hlt.suda.edu.cn/LA/papers/acl-findings-hqzhou-bridging.pdf pdf] | ||
2022年3月20日 (日) 06:40的版本
交流会1：计划3月28日（周一）18:30-20:30 腾讯会议
- 李正华主持；博士生周厚全协调组织
- Nan Yu, Meishan Zhang, Guohong Fu, Min Zhang. RST Discourse Parsing with Second-Stage EDU-Level Pre-training. (main conference, long paper)
- Ying Li, Shuaike Li, Min Zhang. Semi-supervised Domain Adaptation for Dependency Parsing with Dynamic Matching Network. (main conference, long paper)
- 姜晓彤，赵青青，龙云飞，王中卿. Chinese Synesthesia Detection: New Dataset and Models (中文通感语料与检测模型构建). (findings, long paper)
- Houquan Zhou, Yang Li, Zhenghua Li, Min Zhang. Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging. (findings, long paper) pdf