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Most previous studies of document-level event extraction mainly focus on building argument chains in an autoregressive way, which achieves a certain success but is inefficient in both training and inference.
Algorithm 457: Finding all cliques of an undirected graph
Coen Bron and Joep Kerbosch · 1973
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Distant supervision for relation extraction without labeled data
Mike Mintz, Steven Bills, Rion Snow, and Daniel Jurafsky · 2009
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Scheduled sampling for sequence prediction with recurrent neural networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer · 2015
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Event extraction via dynamic multi-pooling convolutional neural networks
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, and Jun Zhao · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer · 2016
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Joint event extraction via recurrent neural networks
Thien Huu Nguyen, Kyunghyun Cho, and Ralph Grishman · 2016
Earlier work this paper cites.
Automatically labeled data generation for large scale event extraction
Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, and Jun Zhao · 2017
Cited alongside, same era.
Jointly multiple events extraction via attention-based graph information aggregation
Xiao Liu, Zhunchen Luo, and Heyan Huang · 2018
Cited alongside, same era.
Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
Event detection without triggers
Event extraction by answering (almost) natural questions
Xinya Du and Claire Cardie · 2020
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Multi-sentence argument linking
Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, and Benjamin Van Durme · 2020
Later among the works it cites.
A joint neural model for information extraction with global features
Ying Lin, Heng Ji, Fei Huang, and Lingfei Wu · 2020
Later among the works it cites.
Exploring sentence community for document-level event extraction
Yusheng Huang and Weijia Jia · 2021
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Document-level event argument extraction by conditional generation
Sha Li, Heng Ji, and Jiawei Han · 2021
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Duee-fin: A document-level event extraction dataset in the financial domain released by baidu
X. et al Li · 2021
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Shulin Liu, Yang Li, Feng Zhang, Tao Yang, and Xinpeng Zhou · 2019
Cited alongside, same era.
Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi · 2019
Cited alongside, same era.
Doc2EDAG: An end-to-end document-level framework for Chinese financial event extraction
Shun Zheng, Wei Cao, Wei Xu, and Jiang Bian · 2019
Cited alongside, same era.
Modeling document-level context for event detection via important context selection
Amir Pouran Ben Veyseh, Minh Van Nguyen, Nghia Ngo Trung, Bonan Min, and Thien Huu Nguyen · 2021
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Document-level event extraction via heterogeneous graph-based interaction model with a tracker
Runxin Xu, Tianyu Liu, Lei Li, and Baobao Chang · 2021
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