Constrained Fact Verification for FEVER
Adithya Pratapa, Sai Muralidhar Jayanthi, Kavya Nerella · 2020
Fact-verification systems are well explored in the NLP literature with growing attention owing to shared tasks like FEVER.Though the task requires reasoning on extracted evidence to verify a claim's factuality, there is little work on understanding the reasoning process.In this work, we propose a new methodology for fact-verification, specifically FEVER, that enforces a closed-world reliance on extracted evidence.We present an extensive evaluation of state-of-the-art verification models under these constraints.