Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task

Abstract

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 test set.