Contextual information contributes to biomedical named entity normalization.

Journal: Journal of biomedical informatics
PMID: 40044019

Abstract

OBJECTIVE: As one of the most crucial upstream tasks in biomedical informatics, biomedical named entity normalization (BNEN) aims to map mentioned named entities to uniform standard identifiers or terms. Most existing methods only consider the similarity between the individual mention itself and its candidates, however, ignore the valuable information of the context around the mention, which is also very important to understand the real semantic of the mention when it is ambiguous.

Authors

  • Gengxin Luo
    Department of Computer Science, Harbin Institute of Technology, Shenzhen 518055, China.
  • Nannan Shi
    Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
  • Gang Wang
    National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
  • Buzhou Tang

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