Introduces applicability condition extraction for therapeutic drug-disease relations, creates first annotated dataset of 1,119 pairs, and proposes enhanced LoRA method outperforming baselines.
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
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Applicability Condition Extraction for Therapeutic Drug-Disease Relations
Introduces applicability condition extraction for therapeutic drug-disease relations, creates first annotated dataset of 1,119 pairs, and proposes enhanced LoRA method outperforming baselines.