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Found 2 papers, 1 papers with code
Biomedical Entity Linking with Contrastive Context Matching
We introduce BioCoM, a contrastive learning framework for biomedical entity linking that uses only two resources: a small-sized dictionary and a large number of raw biomedical articles.
End-to-end Biomedical Entity Linking with Span-based Dictionary Matching
Disease name recognition and normalization, which is generally called biomedical entity linking, is a fundamental process in biomedical text mining.
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