Papers with Facts extraction

1 papers
Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction (2024.acl-long)

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Challenge: Recent research on temporal fact extraction fails to establish time-to-fact correspondences in complex sentences.
Approach: They propose a timeline-based sentence decomposition strategy using large language models with in-context learning to extract temporal facts from natural language text.
Outcome: The proposed method achieves state-of-the-art on a complex temporal fact extraction dataset.

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