1 code implementation • 14 Jun 2021 • 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 articles.
no code implementations • NAACL (BioNLP) 2021 • Shogo Ujiie, Hayate Iso, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
Disease name recognition and normalization, which is generally called biomedical entity linking, is a fundamental process in biomedical text mining.