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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Published in | Data intelligence Vol. 1; no. 2; pp. 99 - 120 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
One Rogers Street, Cambridge, MA 02142-1209, USA
MIT Press
01.04.2019
MIT Press Journals, The |
Subjects | |
Online Access | Get full text |
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