Applicability Condition Extraction for Therapeutic Drug-Disease Relations
Quick Answer
This paper introduces the task of applicability condition extraction for drug-disease relations, presenting a novel dataset with 1,119 annotated pairs.
Quick Take
A new method enhancing LoRA shows superior performance over existing baselines in extracting context-specific conditions from biomedical literature.
Key Points
- First dataset with 1,119 drug-disease-applicability condition triples created.
- New method enhances LoRA to improve extraction performance.
- Systematic evaluation shows consistent outperformance over strong baselines.
- Focus on context-specific conditions crucial for clinical decision-making.
Paper Resources
Source Excerpt
arXiv:2606. 14031v1 Announce Type: new Abstract: Identifying conditions that a certain drug takes therapeutic effect on a target disease is crucial for clinical decision-making support. However, most existing biomedical information extraction methods have focused on identifying only relations between drugs and diseases, while largely overlooking the context-specific conditions where such relations can apply.
To address this problem, we introduce the task of applicability condition extraction for therapeutic drug--disease relations from biomedical research literature. …
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