Event Extraction with Generative Adversarial Imitation Learning
arXiv: Computation and Language, Volume abs/1804.07881, 2018.
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). The GAN estimates proper rewards according to the difference between the actions committed by the expert (or ground truth) and the agent among complic...More
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