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Most existing event extraction (EE) methods merely extract event arguments within the sentence scope.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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The stages of event extraction
David Ahn. 2006 · 2006
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Refining event extraction through cross-document inference
Heng Ji and Ralph Grishman. 2008 · 2008
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Distant supervision for relation extraction without labeled data
Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009 · 2009
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Using document level cross-event inference to improve event extraction
Shasha Liao and Ralph Grishman. 2010 · 2010
Earlier work this paper cites.
Modeling relations and their mentions without labeled text
Sebastian Riedel, Limin Yao, and Andrew McCallum. 2010 · 2010
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Using cross-entity inference to improve event extraction
Yu Hong, Jianfeng Zhang, Bin Ma, Jianmin Yao, Guodong Zhou, and Qiaoming Zhu. 2011 · 2011
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Fast and robust joint models for biomedical event extraction
Sebastian Riedel and Andrew McCallum. 2011 · 2011
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Joint event extraction via structured prediction with global features
Qi Li, Heng Ji, and Liang Huang. 2013 · 2013
Earlier work this paper cites.
Constructing information networks using one single model
Qi Li, Heng Ji, HONG Yu, and Sujian Li. 2014 · 2014
Earlier work this paper cites.
Scheduled sampling for sequence prediction with recurrent neural networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015 · 2015
Earlier work this paper cites.
Event extraction via dynamic multi-pooling convolutional neural networks
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, and Jun Zhao. 2015 · 2015
Cited alongside, same era.
Bidirectional lstm-crf models for sequence tagging
Zhiheng Huang, Wei Xu, and Kai Yu. 2015 · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederick P Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
Incremental global event extraction
Alex Judea and Michael Strube. 2016 · 2016
Cited alongside, same era.
Neural relation extraction with selective attention over instances
Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. 2016 · 2016
Cited alongside, same era.
Joint event extraction via recurrent neural networks
Thien Huu Nguyen, Kyunghyun Cho, and Ralph Grishman. 2016 · 2016
Joint extraction of entities and relations based on a novel tagging scheme
Suncong Zheng, Feng Wang, Hongyun Bao, Yuexing Hao, Peng Zhou, and Bo Xu. 2017 · 2017
Later among the works it cites.
Reinforcement learning for relation classification from noisy data
Jun Feng, Minlie Huang, Li Zhao, Yang Yang, and Xiaoyan Zhu. 2018 · 2018
Later among the works it cites.
Jointly extracting event triggers and arguments by dependency-bridge rnn and tensor-based argument interaction
Lei Sha, Feng Qian, Baobao Chang, and Zhifang Sui. 2018 · 2018
Later among the works it cites.
Joint extraction of entities and relations based on a novel graph scheme
Shaolei Wang, Yue Zhang, Wanxiang Che, and Ting Liu. 2018 · 2018
Later among the works it cites.
Fonduer: Knowledge base construction from richly formatted data
Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Levis, and Christopher Ré. 2018 · 2018
Later among the works it cites.
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Cited alongside, same era.
Joint extraction of events and entities within a document context
Bishan Yang and Tom M. Mitchell. 2016 · 2016
Cited alongside, same era.
Automatically labeled data generation for large scale event extraction
Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, and Jun Zhao. 2017 · 2017
Cited alongside, same era.
Exploiting argument information to improve event detection via supervised attention mechanisms
Shulin Liu, Yubo Chen, Kang Liu, and Jun Zhao. 2017 · 2017
Cited alongside, same era.
CoType: Joint extraction of typed entities and relations with knowledge bases
Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R Voss, Heng Ji, Tarek F Abdelzaher, and Jiawei Han. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Extracting relational facts by an end-to-end neural model with copy mechanism
Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, and Jun Zhao. 2018a
Cited in the paper.
DCFEE: A document-level chinese financial event extraction system based on automatically labeled training data
Hang Yang, Yubo Chen, Kang Liu, Yang Xiao, and Jun Zhao. 2018 · 2018
Later among the works it cites.
Event extraction with generative adversarial imitation learning
Tongtao Zhang and Heng Ji. 2018 · 2018
Later among the works it cites.
One for all: Neural joint modeling of entities and events
Trung Minh Nguyen and Thien Huu Nguyen. 2019 · 2019
Closest in time.
Adversarial training for weakly supervised event detection
Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, and Peng Li. 2019 · 2019
Closest in time.
DIAG-NRE: A neural pattern diagnosis framework for distantly supervised neural relation extraction
Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, and Wei Xu. 2019 · 2019
Closest in time.