Papers with document-level event factuality

2 papers
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.
Incorporating Factuality Inference to Identify Document-level Event Factuality (2023.findings-acl)

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Challenge: Document-level Event Factuality Identification (DEFI) is a task for identifying the degree of certainty that a specific event occurs in a document.
Approach: They propose a document-level event factuality inference task to bridge the sentence-level and document- level event factualality semantically.
Outcome: The proposed model outperforms the baselines on the public English and Chinese DLEF datasets.

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