Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification

1 code implementation • ACL 2021 • Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, Yulan He

To alleviate the above issues, we propose a novel topic-aware evidence reasoning and stance-aware aggregation model for more accurate fact verification, with the following four key properties: 1) checking topical consistency between the claim and evidence; 2) maintaining topical coherence among multiple pieces of evidence; 3) ensuring semantic similarity between the global topic information and the semantic representation of evidence; 4) aggregating evidence based on their implicit stances to the claim.

Fact Verification Semantic Similarity +1