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We propose a new method for event extraction (EE) task based on an imitation learning framework, specifically, inverse reinforcement learning (IRL) via generative adversarial network (GAN).
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Qi Li, Heng Ji, and Liang Huang. 2013 · 2013
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Andreas Vlachos. 2013 · 2013
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Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
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A language-independent neural network for event detection
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Generative adversarial imitation learning
Jonathan Ho and Stefano Ermon. 2016 · 2016
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Liberal event extraction and event schema induction
Lifu Huang, T Cassidy, X Feng, H Ji, CR Voss, J Han, and A Sil. 2016 · 2016
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Incremental global event extraction
Alex Judea and Michael Strube. 2016 · 2016
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Improving information extraction by acquiring external evidence with reinforcement learning
Karthik Narasimhan, Adam Yala, and Regina Barzilay. 2016 · 2016
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Joint event extraction via recurrent neural networks
Thien Huu Nguyen, Kyunghyun Cho, and Ralph Grishman. 2016 · 2016
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From light to rich ere: annotation of entities, relations, and events
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End-to-end differentiable adversarial imitation learning
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Mastering chess and shogi by self-play with a general reinforcement learning algorithm
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Improving event extraction via multimodal integration
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