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Event extraction is of practical utility in natural language processing.
Nyu’s english ace 2005 system description
Ralph Grishman, David Westbrook, and Adam Meyers. 2005 · 1938
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Accurate unlexicalized parsing
Dan Klein and Christopher D. Manning. 2003 · 2003
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Refining event extraction through cross-document inference
Heng Ji and Ralph Grishman. 2008 · 2008
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Using document level cross-event inference to improve event extraction
Shasha Liao and Ralph Grishman. 2010 · 2010
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Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011 · 2011
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Using cross-entity inference to improve event extraction
Yu Hong, Jianfeng Zhang, Bin Ma, Jian-Min Yao, Guodong Zhou, and Qiaoming Zhu. 2011 · 2011
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Event extraction as dependency parsing
David McClosky, Mihai Surdeanu, and Christopher D. Manning. 2011 · 2011
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Automatic event extraction with structured preference modeling
Wei Lu and Dan Roth. 2012 · 2012
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Multi-event extraction guided by global constraints
Roi Reichart and Regina Barzilay. 2012 · 2012
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ADADELTA: an adaptive learning rate method
Matthew D. Zeiler. 2012 · 2012
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Joint event extraction via structured prediction with global features
Qi Li, Heng Ji, and Liang Huang. 2013 · 2013
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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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 · 2015
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Improving event detection with abstract meaning representation
Xiang Li, Thien Huu Nguyen, Kai Cao, and Ralph Grishman. 2015 · 2015
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Training very deep networks
Rupesh Kumar Srivastava, Klaus Greff, and Jürgen Schmidhuber. 2015 · 2015
Modeling skip-grams for event detection with convolutional neural networks
Thien Huu Nguyen and Ralph Grishman. 2016 · 2016
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Joint extraction of events and entities within a document context
Bishan Yang and Tom M. Mitchell. 2016 · 2016
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Language modeling with gated convolutional networks
Yann N. Dauphin, Angela Fan, Michael Auli, and David Grangier. 2017 · 2017
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Identifying civilians killed by police with distantly supervised entity-event extraction
Katherine A. Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, and Brendan O’Connor. 2017 · 2017
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Exploiting argument information to improve event detection via supervised attention mechanisms
Shulin Liu, Yubo Chen, Kang Liu, and Jun Zhao. 2017 · 2017
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A language-independent neural network for event detection
Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, and Ting Liu. 2016 · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling. 2016 · 2016
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Joint event extraction via recurrent neural networks
Thien Huu Nguyen, Kyunghyun Cho, and Ralph Grishman. 2016 · 2016
Cited alongside, same era.
Leveraging framenet to improve automatic event detection
Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, and Jun Zhao. 2016a
Cited in the paper.
A probabilistic soft logic based approach to exploiting latent and global information in event classification
Shulin Liu, Kang Liu, Shizhu He, and Jun Zhao. 2016b
Cited in the paper.
Diego Marcheggiani and Ivan Titov. 2017 · 2017
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Event detection via gated multilingual attention mechanism
Jian Liu, Yubo Chen, Kang Liu, and Jun Zhao. 2018 · 2018
Closest in time.
Graph convolutional networks with argument-aware pooling for event detection
Thien Huu Nguyen and Ralph Grishman. 2018 · 2018
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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
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