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Found 3 papers, 2 papers with code
A Review on Fact Extraction and Verification
We study the fact checking problem, which aims to identify the veracity of a given claim.
Understanding the Impact of Evidence-Aware Sentence Selection for Fact Checking
Fact Extraction and VERification (FEVER) is a recently introduced task that consists of the following subtasks (i) document retrieval, (ii) sentence retrieval, and (iii) claim verification.
Discovering and Exploiting Entailment Relationships in Multi-Label Learning
Marginal probabilities are entered as soft evidence in the network and adjusted through probabilistic inference.
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