Papers by Jong-Hyeon Lee

1 papers
SISER: Semantic-Infused Selective Graph Reasoning for Fact Verification (2022.coling-1)

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Challenge: Existing graph-based methods for fact verification use semantic graphs, which are based on evidence sentences.
Approach: They propose to use semantic-level graph reasoning to inject its reasoning-enhanced representation into other graph-based and sequence-based reasoning methods.
Outcome: The proposed method outperforms the previous graph-based methods and achieves state-of-the-art performance on a large-scale dataset for Fact Extraction and VERification (FEVER).

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