Distantly Supervised Biomedical Relation Extraction via Negative Learning and Noisy Student Self-Training
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DOI: 10.1109/tcbb.2024.3412174
Abstract: Biomedical relation extraction aims to identify underlying relationships among entities, such as gene associations and drug interactions, within biomedical texts. Despite advancements in relation extraction in general knowledge domains, the scarcity of labeled training data… read more here.
Keywords: relation; noisy student; biomedical relation; negative learning ... See more keywords