Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
Most successful information extraction systems operate with access to a large collection of documents. In this work, we explore the task of acquiring and incorporating external evidence to improve extraction accuracy in domains where the amount of training data is scarce. This process entails issuin...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computational Linguistics (ACL)
2016
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| Online Access: | http://hdl.handle.net/1721.1/105337 https://orcid.org/0000-0001-9894-9983 https://orcid.org/0000-0002-2921-8201 |