IJCAI2020信息抽取相关论文合集

一、 Entity 相关

1. Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren

2. Attention-based Multi-level Feature Fusion for Named Entity Recognition Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang

3. Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment Hao Nie, Xianpei Han, Le Sun, Chi Man Wong, Qiang Chen, Suhui Wu, Wei Zhang

4. Hierarchical Matching Network for Heterogeneous Entity Resolution Cheng Fu, Xianpei Han, Jiaming He, Le Sun

5. Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling Haoyu Zhang, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Fei Huang, Ji Wang

6. Leveraging Document-Level Label Consistency for Named Entity Recognition Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang

7. 
   

二、Relation 相关

1. A Relation-Specific Attention Network for Joint Entity and Relation Extraction Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo

2. Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction Tianyang Zhao, Zhao Yan, Yunbo Cao, Zhoujun Li

3. Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction Jie Liu, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, Tong Xu

4. Learning Latent Forests for Medical Relation Extraction Zhijiang Guo, Guoshun Nan, Wei LU, Shay B. Cohen

5. Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction Shan Zhao, Minghao Hu, Zhiping Cai, Fang Liu

6. On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

7. UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jian-Guang Lou

三、Event相关

1. Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations Jian Liu, Yubo Chen, Jun Zhao

Reference

https://www.yanxishe.com/postDetail/19588

推荐阅读

这个NLP工具，玩得根本停不下来

征稿启示| 200元稿费+5000DBC（价值20个小时GPU算力）

文本自动摘要任务的“不完全”心得总结番外篇——submodular函数优化

Node2Vec 论文+代码笔记

模型压缩实践收尾篇——模型蒸馏以及其他一些技巧实践小结

中文命名实体识别工具（NER）哪家强？

学自然语言处理，其实更应该学好英语

斯坦福大学NLP组Python深度学习自然语言处理工具Stanza试用

太赞了！Springer面向公众开放电子书籍，附65本数学、编程、机器学习、深度学习、数据挖掘、数据科学等书籍链接及打包下载

数学之美中盛赞的 Michael Collins 教授，他的NLP课程要不要收藏？

自动作诗机&藏头诗生成器：五言、七言、绝句、律诗全了

这门斯坦福大学自然语言处理经典入门课，我放到B站了

关于AINLP

AINLP 是一个有趣有AI的自然语言处理社区，专注于 AI、NLP、机器学习、深度学习、推荐算法等相关技术的分享，主题包括文本摘要、智能问答、聊天机器人、机器翻译、自动生成、知识图谱、预训练模型、推荐系统、计算广告、招聘信息、求职经验分享等，欢迎关注！加技术交流群请添加AINLPer(id：ainlper)，备注工作/研究方向+加群目的。

阅读至此了，点个在看吧👇