Papers with Document-level event factuality identification

2 papers
Trucidator: Document-level Event Factuality Identification via Hallucination Enhancement and Cross-Document Inference (2025.coling-main)

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Challenge: Document-level event factuality identification (DEFI) assesses the veracity degree to which an event mentioned in a document has happened.
Approach: They propose a document-level event factuality identification framework with hallucination features . they propose factualusion corpus that integrates both genuine and hallucinous false information .
Outcome: The proposed framework outperforms baselines in document event factuality identification.
Document-Level Event Factuality Identification via Adversarial Neural Network (N19-1)

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Challenge: Document-level event factuality identification is crucial for discourse understanding in NLP . identifying document-level factual of events requires comprehensive understanding of documents .
Approach: They propose to construct a corpus annotated with document- and sentence-level event factuality information on English and Chinese texts.
Outcome: The proposed model outperforms baselines on the constructed corpus.

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