4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2021★ 4 cited
Biomedical Entity Linking with Contrastive Context Matching
Shogo Ujiie, Hayate Iso, Eiji Aramaki
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 arti…
cs.CL2021
End-to-end Biomedical Entity Linking with Span-based Dictionary Matching
Shogo Ujiie, Hayate Iso, Shuntaro Yada +2
Disease name recognition and normalization, which is generally called biomedical entity linking, is a fundamental process in biomedical text mining. Recently, neural joint learning…