Towards Debiasing Fact Verification Models

Towards Debiasing Fact Verification Models

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© 2019 Association for Computational Linguistics Fact verification requires validating a claim in the context of evidence. We show, however, that in the popular FEVER dataset this might not necessarily be the case. Claim-only classifiers perform competitively with top evidence-aware models. In this...

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Bibliographic Details
Main Authors: Schuster, Tal, Shah, Darsh J, Yeo, Yun Jie Serene, Filizzola, Daniel, Santus, Enrico, Barzilay, Regina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Association for Computational Linguistics 2021
Online Access:https://hdl.handle.net/1721.1/137401.2

Internet

https://hdl.handle.net/1721.1/137401.2

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