HAL (France)
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Leveraging Generative Large Language Models for Temporal Relation Extraction From French Clinical Narratives: Prompt-Chaining Approach
Abstract Background Temporal relation extraction (TRE) in clinical narratives is crucial for understanding patient history, disease progression, and treatment pathways. However, it remains challenging due to limited annotated data and to the complexity of clinical text, including domain-specific ter
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