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Found 2 papers, 1 papers with code
Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources
Specifically, with the use of the neural topic model and the language model, the target information is augmented by explainable topic representations.
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
To alleviate the above issues, we propose a novel topic-aware evidence reasoning and stance-aware aggregation model for more accurate fact verification, with the following four key properties: 1) checking topical consistency between the claim and evidence; 2) maintaining topical coherence among multiple pieces of evidence; 3) ensuring semantic similarity between the global topic information and the semantic representation of evidence; 4) aggregating evidence based on their implicit stances to the claim.
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