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 th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2019-05-01
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| Series: | Data Intelligence |
| Online Access: | https://www.mitpressjournals.org/doi/abs/10.1162/dint_a_00014 |