Team UMBC-FEVER : Claim verification using Semantic Lexical Resources

Abstract

We describe our system used in the 2018 FEVER shared task. The system employed a frame-based information retrieval approach to select Wikipedia sentences providing evidence and used a two-layer multilayer perceptron to classify a claim as correct or not. Our submission achieved a score of 0.3966 on the Evidence F1 metric with accuracy of 44.79\%, and FEVER score of 0.2628 F1 points.

Tasks

Reproductions