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近两年实体关系抽取顶级会议论文.md

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一、ACL 2019

  1. Graph Neural Networks with Generated Parameters for Relation Hao Zhu and Yankai Lin and Zhiyuan Liu, Jie Fu, Tat-seng Chua, Maosong Sun

    https://arxiv.org/pdf/1902.00756.pdf

  2. Entity-Relation Extraction as Multi-turn Question Answering Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li Arianna Yuan, Duo Chai, Mingxin Zhou and Jiwei Li

    https://arxiv.org/abs/1905.05529

  3. Matching the Blanks: Distributional Similarity for Relation Learning Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski

    https://arxiv.org/abs/1905.05529

  4. Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data

    https://arxiv.org/pdf/1906.08931.pdf

  5. GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction Tsu-Jui Fu, Peng-Hsuan Li and Wei-Yun Ma

    https://tsujuifu.github.io/pubs/acl19_graph-rel.pdf

  6. DocRED: A Large-Scale Document-Level Relation Extraction Dataset Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun

    https://www.aclweb.org/anthology/P19-1074

  7. Attention Guided Graph Convolutional Networks for Relation Extraction Zhijiang Guo, Yan Zhang and Wei Lu

    https://www.aclweb.org/anthology/P19-1024.pdf

  8. Neural Relation Extraction for Knowledge Base Enrichment Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang

    https://www.aclweb.org/anthology/P19-1023.pdf

  9. Joint Type Inference on Entities and Relations via Graph Convolutional Networks Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan

    https://pdfs.semanticscholar.org/7ce8/ce2768907421fb1a6cbfe13a8a36992721a7.pdf

二、AAAI 2019

  1. Hybrid Attention-based Prototypical Networks for Noisy Few-Shot Relation Classification Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun.

    https://gaotianyu1350.github.io/assets/aaai2019_hatt_paper.pdf

  2. A Hierarchical Framework for Relation Extraction with Reinforcement Learning Takanobu, Ryuichi and Zhang, Tianyang and Liu, Jiexi and Huang, Minlie

    https://arxiv.org/pdf/1811.03925.pdf

  3. Kernelized Hashcode Representations for Biomedical Relation Extraction Sahil Garg, Aram Galstyan, Greg Ver Steeg Irina Rish, Guillermo Cecchi, Shuyang Gao

    https://arxiv.org/pdf/1711.04044.pdf

  4. Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren

    https://arxiv.org/pdf/1812.10604.pdf

三、NAACL 2019

  1. Structured Minimally Supervised Learning for Neural Relation Extraction Fan Bai and Alan Ritter

    https://arxiv.org/pdf/1904.00118.pdf

  2. Combining Distant and Direct Supervision for Neural Relation Extraction Iz Beltagy, Kyle Lo and Waleed Ammar

    https://arxiv.org/pdf/1810.12956.pdf

  3. Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions Ye, Zhi-Xiu and Ling, Zhen-Hua

    https://www.aclweb.org/anthology/N19-1288

  4. A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction Duy-Cat Can, Hoang-Quynh Le, Quang-Thuy Ha, Nigel Collier

    https://www.aclweb.org/anthology/N19-1298

  5. Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction Peng Xu and Denilson Barbosa

    https://arxiv.org/abs/1903.10126

  6. GAN Driven Semi-distant Supervision for Relation Extraction Pengshuai Li, Xinsong Zhang, Weijia Jia, Hai Zhao

    https://www.aclweb.org/anthology/N19-1307

  7. Exploiting Noisy Data in Distant Supervision Relation Classification Kaijia Yang, Liang He, Xin-yu Dai, Shujian Huang, Jiajun Chen

    https://www.aclweb.org/anthology/N19-1325

  8. Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks Ningyu Zhang, Shumin Deng, Zhanlin Sun,Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen

    https://www.aclweb.org/anthology/N19-1306

ACL 2020

一、 Entity 相关

（NER & Entity Typing & Entity Linking）主要涉及词汇增强、低资源、跨领域、跨语言、多模态、表示学习。

  1. A Unified MRC Framework for Named Entity Recognition Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu and Jiwei Li

    https://arxiv.org/pdf/1910.11476.pdf

  2. Bipartite Flat-Graph Network for Nested Named Entity Recognition Ying Luo and Hai Zhao

    https://arxiv.org/pdf/2005.00436.pdf

  3. Code and Named Entity Recognition in StackOverflow Jeniya Tabassum, Mounica Maddela, Wei Xu and Alan Ritter

    https://arxiv.org/pdf/2005.01634v1.pdf

  4. Empower Entity Set Expansion via Language Model Probing Yunyi Zhang, Jiaming Shen, Jingbo Shang and Jiawei Han

    https://arxiv.org/pdf/2004.13897.pdf

  5. From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains Jan-Christoph Klie, Richard Eckart de Castilho and Iryna Gurevych

  6. Hierarchical Entity Typing via Multi-level Learning to Rank Tongfei Chen, Yunmo Chen and Benjamin Van Durme

    https://arxiv.org/pdf/2004.02286.pdf

  7. Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer

    Jianfei Yu, Jing Jiang, Li Yang and Rui Xia

  8. Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference Jing Wang, Mayank Kulkarni and Daniel Preotiuc-Pietro

    http://www.preotiuc.ro/papers/multidomainner20acl.pdf

  9. Named Entity Recognition without Labelled Data: A Weak Supervision Approach Pierre Lison, Jeremy Barnes, Aliaksandr Hubin and Samia Touileb

    https://arxiv.org/pdf/2004.14723.pdf

  10. Neighborhood Matching Network for Entity Alignment Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang and Dongyan Zhao

    https://arxiv.org/pdf/2005.05607.pdf

  11. Pyramid: A Layered Model for Nested Named Entity Recognition Jue Wang, Lidan Shou, Ke Chen and Gang Chen

  12. Sources of Transfer in Multilingual Named Entity Recognition David Mueller, Nicholas Andrews and Mark Dredze

    https://arxiv.org/pdf/2005.00847.pdf

  13. Temporally-Informed Analysis of Named Entity Recognition Shruti Rijhwani and Daniel Preotiuc-Pietro

    http://www.preotiuc.ro/papers/temporalner20acl.pdf

  14. Improving Entity Linking through Semantic Reinforced Entity Embeddings Feng Hou, Ruili Wang, Jun He and Yi Zhou\

  15. Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling Canasai Kruengkrai, Thien Hai Nguyen, Sharifah Mahani Aljunied and Lidong Bing

  16. Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno and Kentaro Inui

    https://arxiv.org/pdf/2004.14514.pdf

  17. Named Entity Recognition as Dependency Parsing Juntao Yu, Bernd Bohnet and Massimo Poesio

    https://arxiv.org/pdf/2005.07150.pdf

  18. Soft Gazetteers for Low-Resource Named Entity Recognition Shruti Rijhwani, Shuyan Zhou, Graham Neubig and Jaime Carbonell

    https://arxiv.org/pdf/2005.01866.pdf

  19. TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar and Xiang Ren

    https://arxiv.org/pdf/2004.07493.pdf

  20. Connecting Embeddings for Knowledge Graph Entity Typing Yu Zhao, anxiang zhang, Ruobing Xie, Kang Liu and Xiaojie WANG

  21. An Effective Transition-based Model for Discontinuous NER Xiang Dai, Sarvnaz Karimi, Ben Hachey and Cecile Paris

    https://arxiv.org/pdf/2004.13454.pdf

  22. Multi-Cell Compositional LSTM for NER Domain Adaptation Chen Jia and Yue Zhang

  23. Simplify the Usage of Lexicon in Chinese NER Ruotian Ma, Minlong Peng, Qi Zhang, Zhongyu Wei and Xuanjing Huang

    https://arxiv.org/pdf/1908.05969.pdf

  24. Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language Qianhui Wu, Zijia Lin, Börje Karlsson, Jian-Guang Lou and Biqing Huang

    https://arxiv.org/pdf/2004.12440.pdf

  25. FLAT: Chinese NER Using Flat-Lattice Transformer Xiaonan Li, Hang Yan, Xipeng Qiu and Xuanjing Huang

    https://arxiv.org/pdf/2004.11795.pdf

二、Relation 相关

主要涉及联合抽取、可解释、zero-shot、开放领域抽取、文档级抽取。

  1. A Novel Cascade Binary Tagging Framework for Relational Triple Extraction Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian and Yi Chang

    https://arxiv.org/pdf/1909.03227.pdf

  2. Dialogue-Based Relation Extraction Dian Yu, Kai Sun, Claire Cardie and Dong Yu

    https://arxiv.org/pdf/2004.08056.pdf

  3. Exploiting the Syntax-Model Consistency for Neural Relation Extraction Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou and Thien Huu Nguyen

    https://ix.cs.uoregon.edu/~thien/pubs/relation-acl20.pdf

  4. In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts Ruben Kruiper, Julian Vincent, Jessica Chen-Burger, Marc Desmulliez and Ioannis Konstas

    https://arxiv.org/pdf/2005.07751.pdf

  5. Probing Linguistic Features of Sentence-Level Representations in Relation Extraction Christoph Alt, Aleksandra Gabryszak and Leonhard Hennig

    https://arxiv.org/pdf/2004.08134.pdf

  6. Rationalizing Medical Relation Prediction from Corpus-level Statistics Zhen Wang, Jennifer Lee, Simon Lin and Huan Sun

    https://arxiv.org/pdf/2005.00889.pdf

  7. Reasoning with Latent Structure Refinement for Document-Level Relation Extraction Guoshun Nan, Zhijiang Guo, Ivan Sekulic and Wei Lu

    https://arxiv.org/pdf/2005.06312.pdf

  8. Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents Daoyuan Chen, Yaliang Li, Kai Lei and Ying Shen

    https://arxiv.org/pdf/2004.09930.pdf

  9. TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task Christoph Alt, Aleksandra Gabryszak and Leonhard Hennig

    https://arxiv.org/pdf/2004.14855.pdf

  10. Towards Understanding Gender Bias in Relation Extraction Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang and William Yang Wang

    https://arxiv.org/pdf/1911.03642.pdf

  11. ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages Colin Lockard, Prashant Shiralkar, Xin Luna Dong and Hannaneh Hajishirzi

    https://arxiv.org/pdf/2005.07105.pdf

  12. Relation Extraction with Explanation Hamed Shahbazi, Xiaoli Fern, Reza Ghaeini and Prasad Tadepalli

  13. Revisiting Unsupervised Relation Extraction Thy Thy Tran, Phong Le and Sophia Ananiadou

    https://arxiv.org/pdf/2005.00087.pdf

IJCAI 2020

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

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