evidence-based fact checking aims to verify the truthfulness of a claim
against evidence extracted from textual sources. Learning a representation that
effectively captures relations between a claim and evidence can be challenging.
Recent state-of-the-art approaches have developed incr
Fact verification tasks using a Confidential Graph Attention Network (CO-GAT) with a node masking mechanism achieve a 73.59% FEVER score on the FEVER dataset and show generalization ability to science-specific domains.