Joint Entity and Event Extraction with Generative Adversarial Imitation Learning

We propose a new framework for entity and event extraction based on generative adversarial imitation learning—an inverse reinforcement learning method using a generative adversarial network (GAN). We assume that instances and labels yield to various extents of difficulty and the gains and penalties...

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Bibliographic Details
Published inData intelligence Vol. 1; no. 2; pp. 99 - 120
Main Authors Zhang, Tongtao, Ji, Heng, Sil, Avirup
Format Journal Article
LanguageEnglish
Published One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 01.04.2019
MIT Press Journals, The
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