Before revision: Fact Extraction and VERification (FEVER) is a recently introduced task which aims to identify the veracity of a given claim based on Wikipedia documents. A lot of methods have been proposed to address this problem which consists of the subtasks of (i) retrieving the relevant documents (and sentences) from Wikipedia and (ii) validating whether the information in the documents supports or refutes a given claim.
After revision: Fact Extraction and VERification (FEVER) is a recently introduced task which aims to identify the veracity of a given claim . Specifically, we focus on the task of Fact Extraction and VERification (FEVER) and its accompanied dataset. The task consists of the subtasks of (i) retrieving the relevant documents (and sentences) from Wikipedia and (ii) validating whether the information in the documents supports or refutes a given claim.