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Related Papers

Fine-grained Fact Verification with Kernel Graph Attention Network

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractFact Verification requires fine-grained natural language inference capability that finds subtle clues to identify the syntactical and semantically correct but not well-supported claims. This paper presents Kernel Graph Attention Network …...

37317

Reasoning Over Semantic-Level Graph for Fact Checking

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractFact checking is a challenging task because verifying the truthfulness of a claim requires reasoning about multiple retrievable evidence. In this work, we present a method suitable for reasoning about …...

37422

A Multi-Level Attention Model for Evidence-Based Fact Checking

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

Evidence-based fact checking aims to verify the truthfulness of a claim against evidence ex- tracted from textual sources. Learning a rep- resentation that effectively captures relations between a claim and …...

33966

IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWith the rapid development of automatic fake news detection technology, fact extraction and verification (FEVER) has been attracting more attention. The task aims to extract the most related fact evidences …...

5097