Based on BaptisteBlouin, I review papers about Deep Learning based Event Extraction, and annotate keywords and Abbreviation of Models. Besides, I categorized the papers as Chinese Event Extraction, Open-domain Event Extraction, Event Data Generation, Cross-lingual Event Extraction, Few-Shot Event Extraction and Zero-Shot Event Extraction, Document-level EE.

Omissions and mistakes may exist in the review. Welcome to exchange and opinions!

以BaptisteBlouin 的整理为参考，笔者结合平时自己在研究中的归纳，着重整理了自2015年以来基于深度学习方法的事件抽取与检测论文，并指出了每篇论文的模型简称及核心关键词等；同时又对中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取,类型的任务进行了单独分类的标注。

整理之中或存在疏漏与错误，欢迎大家交流与补充！

• Chinese Event Extraction
• Open-Domain EE
• Event Data Generation
• Multi-Lingual
• FewShot & ZeroShot
• Semi-supervised
• Doc-Level EE

2015

• ACL2015: Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks

  • Author: Chen, Yubo and Xu, Liheng and Liu, Kang and Zeng, Daojian and Zhao, Jun
  • url: https://www.aclweb.org/anthology/P15-1017
  • DataSet: ACE2005
  • keywords: DMCNN, CNN, Dynamic Multi-Pooling

• ACL2015: Event Detection and Domain Adaptation with Convolutional Neural Networks

  • Author: Nguyen, Thien Huu and Grishman, Ralph
  • url: https://www.aclweb.org/anthology/P15-2060
  • code: https://github.com/ThanhChinhBK/event_detector
  • DataSet: ACE2005
  • Keywords: CNN, Domain Adaption

2016

• ACL2016: Event Nugget Detection with Forward-Backward Recurrent Neural Networks

  • Author: Ghaeini, Reza and Fern, Xiaoli and Huang, Liang and Tadepalli, Prasad
  • ur: https://www.aclweb.org/anthology/P16-2060
  • DataSet: ACE2005, Rich ERE
  • Keywords: multi-words events, RNN

• ACL2016: RBPB Regularization Based Pattern Balancing Method for Event Extraction

  • Author: Sha, Lei and Liu, Jing and Lin, Chin-Yew and Li, Sujian and Chang, Baobao and Sui, Zhifang
  • url: https://www.aclweb.org/anthology/P16-1116
  • DataSet: ACE2005
  • Keywords: Embedding & Pattern features, Regularization method

• ACL2016: A Language-Independent Neural Network for Event Detection

  • Author: Feng, Xiaocheng and Huang, Lifu and Tang, Duyu and Ji, Heng and Qin, Bing and Liu, Ting
  • url: https://www.aclweb.org/anthology/P16-2011
  • DataSet: ACE2005 English Corpus, Spainish ERE Corpus
  • Keywords: Hybrid Neural Networks(RNN+CNN), multi-languages

• ACL2016: Leveraging FrameNet to Improve Automatic Event Detection

  • Author: Liu, Shulin and Chen, Yubo and He, Shizhu and Liu, Kang and Zhao, Jun
  • url: https://www.aclweb.org/anthology/P16-1201
  • DataSet: ACE2005 English Corpus
  • Code: https://github.com/liushulinle/events_in_framenet
  • Keywords: FrameNet, Events automatically detected from FN

• EMNLP2016: Modeling Skip-Grams for Event Detection with Convolutional Neural Networks

  • Author: Nguyen, Thien Huu and Grishman, Ralph
  • url: https://www.aclweb.org/anthology/D16-1085
  • DataSet: ACE2005 English Corpus
  • Keywords: Non-consecutive kgrams, CNN

• COLING2016:Leveraging Multilingual Training for Limited Resource Event Extraction

  • Author: Hsi, Andrew and Yang, Yiming and Carbonell, Jaime and Xu, Ruochen
  • url: https://www.aclweb.org/anthology/C16-1114
  • DataSet: ACE2005 English Corpus
  • Keywords: Training on multiple languages using a combination of both language-dependent and language-independent features

• NAACL2016: Joint Event Extraction via Recurrent Neural Networks

  • Author: Nguyen, Thien Huu and Cho, Kyunghyun and Grishman, Ralph
  • url: https://www.aclweb.org/anthology/N16-1034
  • DataSet: ACE2005
  • Keywords: RNN, Joint Event Extraction

• NAACL2016: Joint extraction of events and entities within a document context

  • Authors: Bishan Yang, Tom M. Mitchell
  • url: https://www.aclweb.org/anthology/N16-1033/

• CCL2016: Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Network

  • Author: Chen, Yubo and Liu, Shulin and He, Shizhu and Liu, Kang and Zhao, Jun
  • url: http://www.cips-cl.org/static/anthology/CCL-2016/CCL-16-081.pdf
  • DataSet: ACE2005 English Corpus
  • Keywords: Context-aware word representation, LSTM, Tensor layer

2017

• ACL2017: Automatically Labeled Data Generation for Large Scale Event Extraction

  • Author: Chen, Yubo and Liu, Shulin and Zhang, Xiang and Liu, Kang and Zhao, Jun
  • url: https://www.aclweb.org/anthology/P17-1038
  • Code: https://github.com/acl2017submission/event-data
  • DataSet: ACE2005 English Corpus
  • Keywords: Data Generation, Distant Supervision

• ACL2017: Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms

  • Author: Liu, Shulin and Chen, Yubo and Liu, Kang and Zhao, Jun
  • url: https://www.aclweb.org/anthology/P17-1164
  • DataSet: ACE2005 English Corpus
  • Keywords: Argument information, Supervised Attention

• IJCNLP2017: Exploiting Document Level Information to Improve Event Detection via Recurrent Neural Networks

  • Author: Duan, Shaoyang and He, Ruifang and Zhao, Wenli
  • url: https://www.aclweb.org/anthology/I17-1036
  • DataSet: ACE2005 English Corpus
  • Keywords: DLRNN, Document information, Cross-sentence clues

2018

• AAAI2018: Scale up event extraction learning via automatic training data generation

  • Authors: Zeng, Ying and Feng, Yansong and Ma, Rong and Wang, Zheng and Yan, Rui and Shi, Chongde and Zhao, Dongyan
  • url: https://arxiv.org/pdf/1712.03665.pdf
  • DataSet: Wikipedia article,
  • Keywords: Data Generation, Distant Supervision

• AAAI2018: Jointly Extraction Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Iteraction

  • Auhtor: Sha, Lei and Qian, Feng and Chang, Baobao and Sui, Zhifang
  • url: http://shalei120.github.io/docs/sha2018Joint.pdf
  • DataSet: ACE2005 English Corpus
  • Keywords: dbRNN

• AAAI2018: Graph convolutional networks with argument-aware pooling for event detection

  • Author: Nguyen, Thien Huu and Grishman, Ralph
  • url: http://ix.cs.uoregon.edu/~thien/pubs/graphConv.pdf
  • DataSet: ACE2005 English Corpus
  • Keywords: GCN, Argument-aware Pooling

• AAAI2018: Event detection via gated multilingual attention mechanism

  • Author: Liu, Jian and Chen, Yubo and Liu, Kang and Zhao, Jun
  • url: https://www.semanticscholar.org/paper/Event-Detection-via-Gated-Multilingual-Attention-Liu-Chen/e41984c1c89af71eb3700f5fd2a865eae95c6c8a
  • DataSet: ACE2005 English Corpus
  • Keywords: Multilingual Attention

• ACL2018: Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention

  • Author: Zhao, Yue and Jin, Xiaolong and Wang, Yuanzhuo and Cheng, Xueqi
  • url: https://www.aclweb.org/anthology/P18-2066
  • DataSet: ACE2005 English Corpus
  • Keywords: Document Embedding, Hierarchicak and Supervised Attention

• ACL2018: Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection

  • Author: Hong, Yu and Zhou, Wenxuan and Zhang, Jingli and Zhou, Guodong and Zhu, Qiaoming
  • url: https://www.aclweb.org/anthology/P18-1048
  • DataSet: ACE2005 English Corpus, KBP2015
  • Keywords: GAN + ED

• ACL2018: Nugget Proposal Networks for Chinese Event Detection

  • Author: Lin, Hongyu and Lu, Yaojie and Han, Xianpei and Sun, Le
  • url: https://www.aclweb.org/anthology/P18-1145.pdf
  • DataSet: ACE2005 Chinese Corpus, KBP2017 Corpus
  • Code: https://github.com/sanmusunrise/NPNs

• ACL2018: Zero-Shot Transfer Learning for Event Extraction

  • Author: Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, Clare R. Voss
  • url: https://www.aclweb.org/anthology/P18-1201/
  • Code:https://github.com/wilburOne/ZeroShotEvent
  • Keywords: Zero-Shot Transfer

• ACL2018: DCFFE: A Document-level Chinese Financial Event Extraction System based on Automatically Labelled Training Data

  • Author: Yang, Hang and Chen, Yubo and Liu, Kang and Xiao, Yang and Zhao, Jun
  • url: https://www.aclweb.org/anthology/P18-4009
  • Keywords: Automatically Labelled, Chinese Financial EE

• Joint Entity and Event Extraction with Generative Adversarial Imitation Learning

  • Author: Tongtao Zhang and Heng Ji and Avirup Sil
  • url: https://blender.cs.illinois.edu/paper/imitation2019.pdf

• EMNLP2018: Event Detection with Neural Networks A Rigorous Empirical Evaluation

  • Author: Orr, Walker and Tadepalli, Prasad and Fern, Xiaoli
  • url: https://www.aclweb.org/anthology/D18-1122
  • DataSet: ACE2005 English Corpus
  • Keywords: DAG-GRU, Attention Mechnism

• EMNLP2018: Exploiting Contextual Information via Dynamic Memory Network for Event Detection

  • Author: Liu, Shaobo and Cheng, Rui and Yu, Xiaoming and Cheng, Xueqi
  • url: https://www.aclweb.org/anthology/D18-1127/
  • Code: https://github.com/AveryLiu/TD-DMN
  • DataSet: ACE2005 English Corpus
  • Keywords: Contextual Information, Dynamic Memory Networks

• EMNLP2018: Joint Multiple Event Extraction via Attention-based Graph Information Aggregration

  • Author: Liu, Xiao and Luo, Zhunchen and Huang, Heyan
  • url: https://www.aclweb.org/anthology/D18-1156
  • Code: https://github.com/lx865712528/EMNLP2018-JMEE/
  • DataSet: ACE2005 English Corpus
  • Keywords: JMEE

• EMNLP2018: Similar but not the Same Word Sense Disambiguation Improves Event Detection via Neural Representation Matching

  • Author: Lu, Weiyi and Nguyen, Thien Huu
  • url: https://www.aclweb.org/anthology/D18-1517/
  • DataSet: ACE2005 English Corpus, TAC2015
  • Keywords: Word Sense Disambiguation

• EMNLP2018: Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms

  • Author: Chen, Yubo and Yang, Hang and Liu, Kang and Zhao, Jun and Jia, Yantao
  • url: https://www.aclweb.org/anthology/D18-1158
  • DataSet: ACE2005 English Corpus
  • Code: https://github.com/yubochen/NBTNGMA4ED/
  • Keywords: NBTNGMA4ED

• NAACL2018: Semi-supervised event extraction with paraphrase clusters

  • Author: Ferguson, James and Lockard, Colin and Weld, Daniel and Hajishirzi, Hannaneh
  • url: https://www.aclweb.org/anthology/N18-2058/
  • DataSet: ACE2005 Corpus, TAC2015
  • Keywords: Semi-supervised

• COLING2018: Open-Domain Event Detection using Distant Supervision

  • Author: Araki, Jun and Mitamura, Teruko
  • url: https://www.aclweb.org/anthology/C18-1075/
  • Code:https://bitbucket.org/junaraki/coling2018-event
  • Keywords: Open-Domain, Distant Supervision

2019

• AAAI2019: Exploiting the Ground-Truth An Adversarial Imitation Based Knowledge Distiallation Approach for Event Detection

  • Author: Liu, Jian and Chen, Yubo and Liu, Kang
  • url: https://www.aaai.org/ojs/index.php/AAAI/article/view/4649/4527
  • DataSet: ACE2005 English Corpus
  • Keywords: Adversarial, Knowledge Distillation

• AAAI2019: Neural joint modeling of entities and events

  • Author: Trung Minh Nguyen, Thien Huu Nguyen
  • url: https://arxiv.org/abs/1812.00195

• ACL2019: Cost-Sensitive Regulation for Label Confustion-aware Event Detection

  • Author: Lin, Hongyu and Lu, Yaojie and Han, Xianpei and Sun, Le
  • url: https://www.aclweb.org/anthology/P19-1521
  • DataSet: ACE2005 English Corpus, KBP2017
  • Code: https://github.com/sanmusunrise/CSR

• ACL2019: Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning

  • Author: Lu, Yaojie and Lin, Hongyu and Han, Xianpei and Sun, Le
  • url: https://www.aclweb.org/anthology/P19-1429
  • DataSet: ACE2005 English Corpus, KBP2017
  • Code: https://github.com/luyaojie/delta-learning-for-ed

• ACL2019: Exploring Pre-trained Language Models for Event Extraction and Geenration

  • Author: Yang, Sen and Feng, Dawei and Qiao, Linbo and Kan, Zhigang and Li, Dongsheng
  • url: https://www.aclweb.org/anthology/P19-1522
  • Keywords: PLMEE, BERT

• ACL2019: Literary Event Detection

  • Author: Matthew Sims, Jong Ho Park, David Bamman
  • url: https://www.aclweb.org/anthology/P19-1353/
  • Code: https://github.com/dbamman/ACL2019-literary-events

• ACL2019: Open Domain Event Extraction Using Neural Latent Variable Models

  • Author: Xiao Liu and Heyan Huang and Yue Zhang
  • url: https://www.aclweb.org/anthology/P19-1276/
  • Code: https://github.com/lx865712528/ACL2019-ODEE

• ACL2019: Rapid Customization for Event Extraction

  • Author: Yee Seng Chan, Joshua Fasching, Haoling Qiu, Bonan Min
  • url: https://www.aclweb.org/anthology/P19-3006/
  • Code: https://github.com/BBN-E/Rapid-customization-events-acl19

• Extending Event Detection to New Types with Learning from Keywords

  • Author: Lai, Viet Dac and Nguyen, Thien
  • url: https://www.aclweb.org/anthology/D19-5532

• WWW2019: Event Detection using Hierarchical Multi-Aspect Attention

  • Author: Sneha Mehta, M. Raihanul Islam, Huzefa Rangwala, Naren Ramakrishnan
  • url: https://dl.acm.org/doi/fullHtml/10.1145/3308558.3313659
  • Code: https://github.com/sumehta/FBMA

• CONLL2019: Exploiting the Entity Type Sequence to Benefit Event Detection

  • Author: Yuze Ji, Youfang Lin, Jianwei Gao, Huaiyu Wan
  • url: https://www.aclweb.org/anthology/K19-1057/
  • Code: ACE2005 English Corpus

• EMNLP2019: A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection

  • Author: Kurt Junshean Espinosa, Makoto Miwa, Sophia Ananiadou
  • url: https://www.aclweb.org/anthology/D19-1381/
  • DataSet: BioNLP Cancer Genetics (CG) Shared Task 2013

• EMNLP2019: Cross-lingual Structure Transfer for Relation and Event Extraction

  • Author: Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss
  • url: https://www.aclweb.org/anthology/D19-1030/

• EMNLP2019: Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction

  • Author: Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
  • url: https://www.aclweb.org/anthology/D19-1032/

• EMNLP2019: Entity, Relation, and Event Extraction with Contextualized Span Representations

  • Author: David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi
  • url: https://www.aclweb.org/anthology/D19-1585
  • Code: https://github.com/dwadden/dygiepp

• EMNLP2019: Event Detection with Multi-Order Graph Convolution and Aggregated

  • Author: Yan, Haoran and Jin, Xiaolong and Meng, Xiangbin and Guo, Jiafeng and Cheng, Xueqi
  • url: https://www.aclweb.org/anthology/D19-1582
  • DataSet: ACE2005 English Corpus
  • Keywords: MOGANED

• EMNLP2019: Event Detection with Trigger-Aware Lattice Neural Network

  • Author: Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng, Zibo Lin
  • url: https://www.aclweb.org/anthology/D19-1033/
  • DataSet: ACE2005 Chinese Corpus
  • Code: https://github.com/thunlp/TLNN
  • Keywords: Trigger-Aware Lattice

• EMNLP2019: HMEAE: Hierarchical Modular Event Argument Extraction

  • Author: Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren
  • url: https://www.aclweb.org/anthology/D19-1584/
  • DataSet: ACE2005 English Corpus
  • Code: https://github.com/thunlp/HMEAE

• EMNLP2019: Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction

  • Author: Rujun Han, Qiang Ning, Nanyun Peng
  • url: https://www.aclweb.org/anthology/D19-1041/

• EMNLP2019: Neural Cross-Lingual Event Detection with Minimal Parallel Resources

  • Author: Jian Liu, Yubo Chen, Kang Liu, Jun Zhao
  • url: https://www.aclweb.org/anthology/D19-1068/
  • Keywords: Cross-Lingual Event Detection

• EMNLP2019: Open Event Extraction from Online Text using a Generative Adversarial Network

  • Author: Rui Wang, Deyu Zhou, Yulan He
  • url: https://www.aclweb.org/anthology/D19-1027/

• EMNLP2019: Reporting the unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes

  • Author: Aida Mostafazadeh Davani etal.
  • url: https://arxiv.org/pdf/1909.02126.pdf
  • Code: https://github.com/aiida-/HateCrime

• IJCAI2019: Extracting entities and events as a single task using a transition-based neural model

  • Author: Zhang, Junchi and Qin, Yanxia and Zhang, Yue and Liu, Mengchi and Ji, Donghong
  • url: https://www.ijcai.org/proceedings/2019/753
  • DataSet: ACE2005 English Corpus
  • Code: https://github.com/zjcerwin/TransitionEvent

• IJCNLP2019: A Hybrid Character Representatin for Chinese Event Detection

  • Author: Xi Xiangyu ; Zhang Tong ; Ye Wei ; Zhang Jinglei ; Xie Rui ; Zhang Shikun
  • url: https://ieeexplore.ieee.org/document/8851786
  • DataSet: ACE2005 Chinese Corpus

• NAACL2019: Adversarial Training for Weakly Supervised Event Detection

  • Author: Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li
  • url: https://www.aclweb.org/anthology/N19-1105/
  • DataSet: ACE2005 English Corpus
  • Code: https://github.com/LolaJing0822/Adversarial-Training-for-Weakly-Supervised-Event-Detection

• NAACL2019: Event Detection without Triggers

  • Author: Shulin Liu, Yang Li, Feng Zhang, Tao Yang, Xinpeng Zhou
  • url: https://www.aclweb.org/anthology/N19-1080/
  • DataSet: ACE2005 English Corpus
  • Code: https://github.com/liushulinle/event_detection_without_triggers

• NAACL2019: Biomedical Event Extraction based on Knowledge-driven Tree-LSTM

  • Author: Diya Li, Lifu Huang, Heng Ji, Jiawei Han
  • url: https://www.aclweb.org/anthology/N19-1145/
  • DataSet: Genia2011 dataset
  • Keywords: Knowledge-driven Tree-LSTM

• A Survey of Event Extraction from Text

  • Author: Wei Xiang, Bang Wang
  • url: https://ieeexplore.ieee.org/document/8918013

• Joint Event Extraction Based on Hierarchical Event Schemas From FrameNet

  • Author: Wei Li , Dezhi Cheng, Lei He, Yuanzhuo Wang, Xiaolong Jin
  • url: https://ieeexplore.ieee.org/document/8643786

2020

• PAKDD2020: Exploiting the Matching Information in the Support Set for Few Shot Event Classification

  • Authors: Viet Lai, Franck Dernoncourt, Thien Huu Nguyen
  • url: https://arxiv.org/abs/2002.05295
  • Keywords: FewShot

• PAKDD2020: Learning to Select Important Context Words for Event Detection

  • Authors: Nghia Trung, NgoTuan Ngo, NguyenThien Huu Nguyen
  • url: https://pakdd2020.org/download/conference_paper_slides/main-477.pdf

• WSDM2020: Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection

  • Authors: Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen
  • url: https://arxiv.org/abs/1910.11621
  • Code: https://github.com/231sm/Low_Resource_KBP

• ACL2020: Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation

  • Authors: Aakanksha Naik, Carolyn Rose
  • url: https://www.aclweb.org/anthology/2020.acl-main.681/

• ACL2020: Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder

  • Authors: Zheng Tang, Gus Hahn-Powell, Mihai Surdeanu
  • url: https://www.aclweb.org/anthology/2020.acl-srw.23/

• ACL2020: Cross-media Structured Common Space for Multimedia Event Extraction

  • Authors: Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, Shih-Fu Chang
  • url: https://arxiv.org/abs/2005.02472

• ACL2020: Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event

  • Authors: Prafulla Kumar Choubey and Aaron Lee and Ruihong Huang and Lu Wang
  • code: https://github.com/prafulla77/Discourse_Profiling

• ACL2020: Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding

  • Authors: Xinya Du, Claire Cardie
  • url: https://arxiv.org/abs/2005.06579

• ACL2020: Improving Event Detection via Open-domain Trigger Knowledge

  • Authors: Meihan Tong, Bin Xu, Shuai Wang, Yixin Cao, Lei Hou, Juanzi Li and Jun Xie

• ACL2020: A Two-Step Approach for Implicit Event Argument Detection

  • Authors: Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma and Eduard Hovy

• IJCAI2020: A Unified Model for Financial Event Classification, Detection and Summarization

  • Authors: Quanzhi Li, Qiong Zhang

• IJCAI2020: F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification

  • Authors: Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou

• arXiv: Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features

  • Authors: Zhigang Kan, Linbo Qiao, Sen Yang, Feng Liu, Feng Huang
  • url: https://arxiv.org/abs/2006.01854

• arxiv2020: Open-domain Event Extraction and Embedding for Natural Gas Market Prediction

  • Authors: Chau, Minh Triet and Esteves, Diego and Lehmann, Jens
  • url: https://arxiv.org/abs/1912.11334

• arxiv2020: Event Extraction as Definitation Comprehension

  • Authors: Yunmo Chen, Tongfei Chen, Seth Ebner, Benjamin Van Durme
  • url: https://arxiv.org/abs/1912.01586

• arxiv2020: Event Detection with Relation-Aware Graph Convolutional Neural Networks

  • Authors: Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi
  • url: https://arxiv.org/abs/2002.10757
  • Code: to be updated

• arxiv2020: MAVEN: A Massive General Domain Event Detection Dataset

  • Authors: Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou
  • url: [https://arxiv.org/abs/2004.13590]https://arxiv.org/abs/2004.13590

• arxiv2020: Event Extraction by Answering (Almost) Natural Questions

  • Authors:Xinya Du, Claire Cardie
  • url: https://arxiv.org/abs/2004.13625

• arxiv2020: Extracting COVID-19 Events from Twitter

  • Authors: Shi Zong, Ashutosh Baheti, Wei Xu, Alan Ritter
  • url: https://arxiv.org/abs/2006.02567

• arxiv2020: Improving Event Detection using Contextual Wrod and Sensence embeddings

  • Authors: Mariano Maisonnave, Fernando Delbianco, Fernando Tohmé, Ana Maguitman, Evangelos Milios
  • url: https://arxiv.org/abs/2007.01379

• arxiv2020: MAVEN A Massive General Domain Event Detection Dataset

  • Authors: Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou
  • url: https://arxiv.org/abs/2004.13590

Chinese Event Detection

• NLPCC2016 : A convolution bilstm neural network model for chinese event extraction 中文事件抽取

• ACL2018: Nugget Proposal Networks for Chinese Event Detection

  • Author: Lin, Hongyu and Lu, Yaojie and Han, Xianpei and Sun, Le
  • url: https://www.aclweb.org/anthology/P18-1145.pdf
  • DataSet: ACE2005 Chinese Corpus, KBP2017 Corpus
  • Code: https://github.com/sanmusunrise/NPNs

• ACL2018: DCFFE: A Document-level Chinese Financial Event Extraction System based on Automatically Labelled Training Data

  • Author: Yang, Hang and Chen, Yubo and Liu, Kang and Xiao, Yang and Zhao, Jun
  • url: https://www.aclweb.org/anthology/P18-4009
  • Keywords: Automatically Labelled, Chinese Financial EE

• EMNLP2019: Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction

  • Author: Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
  • url: https://www.aclweb.org/anthology/D19-1032/

• EMNLP2019: Event Detection with Trigger-Aware Lattice Neural Network

  • Author: Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng, Zibo Lin
  • url: https://www.aclweb.org/anthology/D19-1033/
  • DataSet: ACE2005 Chinese Corpus
  • Code: https://github.com/thunlp/TLNN
  • Keywords: Trigger-Aware Lattice

• IJCNLP2019: A Hybrid Character Representatin for Chinese Event Detection

  • Author: Xi Xiangyu ; Zhang Tong ; Ye Wei ; Zhang Jinglei ; Xie Rui ; Zhang Shikun
  • url: https://ieeexplore.ieee.org/document/8851786
  • DataSet: ACE2005 Chinese Corpus

• EMNLP2019: Cross-lingual Structure Transfer for Relation and Event Extraction

  • Author: Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss
  • url: https://www.aclweb.org/anthology/D19-1030/

Open Domain Event Extraction

• AACL2016: Liberal Event Extraction and Event Schema Enduction

  • Lifu Huang, Taylor Cassidy, Xiaocheng Feng, Heng Ji, Clare R. Voss, Jiawei Han, Avirup Sil
  • url: https://www.aclweb.org/anthology/P16-1025/

• NAACL2016: Joint Learning Templates and Slots for Event Schema Induction

  • Author: Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
  • url: https://www.aclweb.org/anthology/N16-1049/
  • Code: https://github.com/shenglih/normalized_cut/tree/master

• AACL2015: Generative Event Schema Induction with Entity Disambiguation

  • Author: Kiem-Hieu Nguyen, Xavier Tannier, Olivier Ferret, Romaric Besançon
  • url: https://www.aclweb.org/anthology/P15-1019/

• COLING2018: Open-Domain Event Detection using Distant Supervision

  • Author: Araki, Jun and Mitamura, Teruko
  • url: https://www.aclweb.org/anthology/C18-1075/
  • Code:https://bitbucket.org/junaraki/coling2018-event
  • Keywords: Open-Domain, Distant Supervision

• ACL2019: Open Domain Event Extraction Using Neural Latent Variable Models

  • Author: Xiao Liu and Heyan Huang and Yue Zhang
  • url: https://github.com/lx865712528/ACL2019-ODEE
  • Code: https://github.com/lx865712528/ACL2019-ODEE

• EMNLP2019: Reporting the unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes

  • Author: Aida Mostafazadeh Davani etal.
  • url: https://arxiv.org/pdf/1909.02126.pdf
  • Code: https://github.com/aiida-/HateCrime

• arxiv2020: Open-domain Event Extraction and Embedding for Natural Gas Market Prediction

  • Authors: Chau, Minh Triet and Esteves, Diego and Lehmann, Jens
  • url: https://arxiv.org/abs/1912.11334

• ACL2020: Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation

  • Authors: Aakanksha Naik, Carolyn Rose
  • url: https://www.aclweb.org/anthology/2020.acl-main.681/

• arxiv2020: MAVEN: A Massive General Domain Event Detection Dataset

  • Authors: Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou
  • url: [https://arxiv.org/abs/2004.13590]https://arxiv.org/abs/2004.13590

Doc-Level EE

• ACL2018: DCFFE: A Document-level Chinese Financial Event Extraction System based on Automatically Labelled Training Data

  • Author: Yang, Hang and Chen, Yubo and Liu, Kang and Xiao, Yang and Zhao, Jun
  • url: https://www.aclweb.org/anthology/P18-4009
  • Keywords: Automatically Labelled, Chinese Financial EE

• EMNLP2019: Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction

  • Author: Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
  • url: https://www.aclweb.org/anthology/D19-1032/
  • code: https://github.com/dolphin-zs/Doc2EDAG/tree/master/dee

• ACL2020: Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding

  • Authors: Xinya Du, Claire Cardie
  • url: https://arxiv.org/abs/2005.06579

Data Generation

• ACL2016: Leveraging FrameNet to Improve Automatic Event Detection

  • Author: Liu, Shulin and Chen, Yubo and He, Shizhu and Liu, Kang and Zhao, Jun
  • url: https://www.aclweb.org/anthology/P16-1201
  • DataSet: ACE2005 English Corpus
  • Code: https://github.com/liushulinle/events_in_framenet
  • Keywords: FrameNet, Events automatically detected from FN

• ACL2017: Automatically Labeled Data Generation for Large Scale Event Extraction

  • Author: Chen, Yubo and Liu, Shulin and Zhang, Xiang and Liu, Kang and Zhao, Jun
  • url: https://www.aclweb.org/anthology/P17-1038
  • Code: https://github.com/acl2017submission/event-data
  • DataSet: ACE2005 English Corpus
  • Keywords: Data Generation, Distant Supervision

• ACL2019: Exploring Pre-trained Language Models for Event Extraction and Geenration

  • Author: Yang, Sen and Feng, Dawei and Qiao, Linbo and Kan, Zhigang and Li, Dongsheng
  • url: https://www.aclweb.org/anthology/P19-1522
  • Keywords: PLMEE, BERT

• Extending Event Detection to New Types with Learning from Keywords

  • Author: Lai, Viet Dac and Nguyen, Thien
  • url: https://www.aclweb.org/anthology/D19-5532

• EMNLP2019: Open Event Extraction from Online Text using a Generative Adversarial Network

  • Author: Rui Wang, Deyu Zhou, Yulan He
  • url: https://www.aclweb.org/anthology/D19-1027/

• EMNLP2019: Reporting the unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes

  • Author: Aida Mostafazadeh Davani etal.
  • url: https://arxiv.org/pdf/1909.02126.pdf
  • Code: https://github.com/aiida-/HateCrime

• arxiv2020: MAVEN: A Massive General Domain Event Detection Dataset

  • Authors: Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou
  • url: [https://arxiv.org/abs/2004.13590]https://arxiv.org/abs/2004.13590

Multi-lingual

• ACL2016: A Language-Independent Neural Network for Event Detection

  • Author: Feng, Xiaocheng and Huang, Lifu and Tang, Duyu and Ji, Heng and Qin, Bing and Liu, Ting
  • url: https://www.aclweb.org/anthology/P16-2011
  • DataSet: ACE2005 English Corpus, Spainish ERE Corpus
  • Keywords: Hybrid Neural Networks(RNN+CNN), multi-languages

• COLING2016:Leveraging Multilingual Training for Limited Resource Event Extraction

  • Author: Hsi, Andrew and Yang, Yiming and Carbonell, Jaime and Xu, Ruochen
  • url: https://www.aclweb.org/anthology/C16-1114
  • DataSet: ACE2005 English Corpus
  • Keywords: Training on multiple languages using a combination of both language-dependent and language-independent features

• AAAI2018: Event detection via gated multilingual attention mechanism

  • Author: Liu, Jian and Chen, Yubo and Liu, Kang and Zhao, Jun
  • url: https://www.semanticscholar.org/paper/Event-Detection-via-Gated-Multilingual-Attention-Liu-Chen/e41984c1c89af71eb3700f5fd2a865eae95c6c8a
  • DataSet: ACE2005 English Corpus
  • Keywords: Multilingual Attention

• EMNLP2019: Cross-lingual Structure Transfer for Relation and Event Extraction

  • Author: Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss
  • url: https://www.aclweb.org/anthology/D19-1030/

• EMNLP2019: Neural Cross-Lingual Event Detection with Minimal Parallel Resources

  • Author: Jian Liu, Yubo Chen, Kang Liu, Jun Zhao
  • url: https://www.aclweb.org/anthology/D19-1068/
  • Keywords: Cross-Lingual Event Detection

Few-Shot & Zero-Shot

• ACL2018: Zero-Shot Transfer Learning for Event Extraction

  • Author:
  • url: https://www.aclweb.org/anthology/P18-1201/
  • Code:https://github.com/wilburOne/ZeroShotEvent
  • Keywords: Zero-Shot Transfer

• PAKDD2020: Exploiting the Matching Information in the Support Set for Few Shot Event Classification

  • Authors: Viet Lai, Franck Dernoncourt, Thien Huu Nguyen
  • url: https://arxiv.org/abs/2002.05295
  • Keywords: FewShot

• WSDM2020: Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection

  • Authors: Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen
  • url: https://arxiv.org/abs/1910.11621
  • Code: https://github.com/231sm/Low_Resource_KBP

Semi-Supervised

• NAACL2018: Semi-supervised event extraction with paraphrase clusters
  • Author: Ferguson, James and Lockard, Colin and Weld, Daniel and Hajishirzi, Hannaneh
  • url: https://www.aclweb.org/anthology/N18-2058/
  • DataSet: ACE2005 Chinese Corpus, TAC2015
  • Keywords: Semi-supervised