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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 \[paper\]
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