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 (Author), Shah, Darsh J (Author), Yeo, Yun Jie Serene (Author), Filizzola, Daniel (Author), Santus, Enrico (Author), Barzilay, Regina (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computational Linguistics, 2021-11-15T15:59:15Z.
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