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Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task

Dominik Stammbach; Günter Neumann
In: Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER). Workshop on Fact Extraction and Verification (FEVER-2019), located at EMNLP-IJCNLP 2019, November 3, Hong Kong, China, Pages 105-109, Association for Computational Linguistics, 11/2019.


This paper contains our system description for the second Fact Extraction and VERification (FEVER) challenge. We propose a two-staged sentence selection strategy to account for examples in the dataset where evidence is not only conditioned on the claim, but also on previously retrieved evidence. We use a publicly available document retrieval module and have fine-tuned BERT checkpoints for sentence selection and as the entailment classifier. We report a FEVER score of 68.46% on the blind testset.


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