ACL2022 | 关系抽取和NER等论文分类整理

大家好，我是对白。

ACL 2022的paper list终于放出来了！！！

本文汇总了ACL2022信息抽取方向的论文，包括但不限于通用信息抽取、命名实体识别、关系抽取、事件抽取、事件关系抽取、基于事件的观点挖掘等。

一、信息抽取

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1. Automatic Error Analysis for Document-level Information Extraction. Aliva Das, Xinya Du, Barry Wang, Kejian Shi, Jiayuan Gu, Thomas Porter, Claire Cardie

2. BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavaš

3. FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction. Chen-Yu Lee, Chun-Liang Li, Timothy Dozat, Vincent Perot, Guolong Su, Nan Hua, Joshua Ainslie, Renshen Wang, Yasuhisa Fujii, Tomas Pfister

4. MILIE: Modular & Iterative Multilingual Open Information Extraction. Bhushan Kotnis, Kiril Gashteovski, Daniel Onoro Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence

5. OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework. Xin Wang, Minlong Peng, Mingming Sun, Ping Li

6. Text-to-Table: A New Way of Information Extraction. Xueqing Wu, Jiacheng Zhang, Hang Li

7. Unified Structure Generation for Universal Information Extraction. Yaojie Lu, Qing Liu, Dai Dai, Xinyan Xiao, Hongyu Lin, Xianpei Han, Le Sun, Hua Wu

二、命名实体识别

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1. An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition. Zhuoran Li, Chunming Hu, Xiaohui Guo, Junfan Chen, Wenyi Qin, Richong Zhang

2. Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks. Songlin Yang, Kewei Tu [paper]

3. Boundary Smoothing for Named Entity Recognition Enwei Zhu, Jinpeng Li

4. CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning. Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang [paper]

5. Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning. Kang Zhou, Yuepei Li, Qi Li

6. Few-Shot Class-Incremental Learning for Named Entity Recognition. Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao

7. Few-shot Named Entity Recognition with Self-describing Networks. Jiawei Chen, Qing Liu, Hongyu Lin, Xianpei Han, Le Sun [paper]

8. FiNER: Financial Numeric Entity Recognition for XBRL Tagging. Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, Georgios Paliouras [paper]

9. MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao [paper]

10. MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic. Perspective Xiao Wang, Shihan Dou, Limao Xiong, Yicheng Zou, Qi Zhang, Tao Gui, Liang Qiao, Zhanzhan Cheng, Xuanjing Huang

11. Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing. Chao Lou, Songlin Yang, Kewei Tu [paper]

12. Nested Named Entity Recognition with Span-level Graphs. Juncheng Wan, Dongyu Ru, Weinan Zhang, Yong Yu

13. Parallel Instance Query Network for Named Entity Recognition. Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang

14. Cross-domain Named Entity Recognition via Graph Matching. Junhao Zheng, Haibin Chen, Qianli Ma

15. Decomposed Meta-Learning for Few-Shot Named Entity Recognition. Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin

16. Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training. Peixin Huang, Xiang Zhao, Minghao Hu, Yang Fang, Xinyi Li, Weidong Xiao

17. Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking. Yifei Li, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany

18. Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition. Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang

19. Label Semantics for Few Shot Named Entity Recognition. Jie Ma, Miguel Ballesteros, Srikanth Doss, RISHITA ANUBHAI, Sunil Mallya, Yaser Al-Onaizan, Dan Roth

20. Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples. Yu Xia, Quan Wang, Yajuan Lyu, Yong Zhu, Wenhao Wu, Sujian Li, Dai Dai

21. Thai Nested Named Entity Recognition Corpus. Weerayut Buaphet, Can Udomcharoenchaikit, Peerat Limkonchotiwat, Attapol Rutherford, Sarana Nutanong

22. Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework. Zilong Wang, Jingbo Shang

23. Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition. Aaron Reich, Jiaao Chen, Aastha Agrawal, Yanzhe Zhang, Diyi Yang

三、关系抽取

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1. Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction. Zhanming Jie, Jierui Li, Wei Lu

2. Packed Levitated Marker for Entity and Relation Extraction. Deming Ye, Yankai Lin, Peng Li, Maosong Sun

3. Pre-training to Match for Unified Low-shot Relation Extraction. Fangchao Liu, Hongyu Lin, Xianpei Han, Boxi Cao, Le Sun

4. DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction. Abhyuday Bhartiya, Kartikeya Badola, Mausam

5. PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction. Vipul Kumar Rathore, Kartikeya Badola, Parag Singla, Mausam

6. Consistent Representation Learning for Continual Relation Extraction. Kang Zhao, Hua Xu, Jiangong Yang, Kai Gao

7. Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng

8. Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion. Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han

9. Encoding and Fusing Semantic Connection and Linguistic Evidence for Implicit Discourse Relation Recognition. Wei Xiang, Bang Wang, Lu Dai, Yijun Mo

10. HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction. Dongyang Li, Taolin Zhang, Nan Hu, Chengyu Wang, Xiaofeng He

11. Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking. Yuanhe Tian, Yan Song, Fei Xia

12. RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si

13. A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction. Yang Liu, Jinpeng Hu, Xiang Wan, Tsung-Hui Chang

14. Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation. Chengwei Qin, Shafiq Joty [paper]

四、事件抽取

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1. ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang [paper]

2. Dynamic Prefix-Tuning for Generative Template-based Event Extraction. Xiao Liu, Heyan Huang, Ge Shi, Bo Wang

3. Legal Judgment Prediction via Event Extraction with Constraints. Yi Feng, Chuanyi Li, Vincent Ng

4. Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction. Kuan-Hao Huang, I-Hung Hsu, Prem Natarajan, Kai-Wei Chang, Nanyun Peng [paper]

5. Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao [paper]

6. Saliency as Evidence: Event Detection with Trigger Saliency Attribution. Jian Liu, Yufeng Chen, Jinan Xu

7. A Graph Enhanced BERT Model for Event Prediction. Li Du, Xiao Ding, Yue Zhang, ting liu, Bing Qin

8. Document-Level Event Argument Extraction via Optimal Transport. Amir Pouran Ben Veyseh, Minh Van Nguyen, Franck Dernoncourt, Bonan Min, Thien Huu Nguyen

9. LEVEN: A Large-Scale Chinese Legal Event Detection Dataset. Feng Yao, Chaojun Xiao, Xiaozhi Wang, Zhiyuan Liu, Lei Hou, Cunchao Tu, Juanzi Li, Yun Liu, Weixing Shen, Maosong Sun [paper]

10. Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang [paper]

五、事件关系抽取

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1. Event-Event Relation Extraction using Probabilistic Box Embedding. EunJeong Hwang, Jay-Yoon Lee, Tianyi Yang, Dhruvesh Patel, Dongxu Zhang, Andrew McCallum

六、基于事件的观点挖掘

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1. ECO v1: Towards Event-Centric Opinion Mining. Ruoxi Xu, Hongyu Lin, Meng Liao, Xianpei Han, Jin Xu, Wei Tan, Yingfei Sun, Le Sun [paper]

关于我

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