Multi-Hop Fact Checking of Political Claims

Understand

Recent work has proposed multi-hop models and datasets for studying complex natural language reasoning.

• One notable task requiring multi-hop reasoning is fact checking, where a set of connected evidence pieces leads to the final verdict of a claim.
• However, existing datasets either do not provide annotations for gold evidence pages, or the only dataset which does (FEVER) mostly consists of claims which can be fact-checked with simple reasoning and is constructed artificially.
• Here, we study more complex claim verification of naturally occurring claims with multiple hops over interconnected evidence chunks.