Work

Translating UMLS Concepts to Improve Medical Entity Linking in French: A SapBERT-Based Approach

Year: 2025

Type: book-chapter

Abstract: Medical Entity Linking (MEL) refers to the task of automatically detecting and codifying medical concepts, which is an important preprocessing step for exploiting unstructured medical reports. SapBERT is an efficient MEL method for the English language. Unfortunately, its cross-language counterpart underperforms in French due to the lack of training data. To address this limitation, this paper explores the possibility of training SapBERT on machine-generated French translations of the UMLS Metathesaurus. Evaluation on the QuaeroFrenchMed benchmark demonstrates that this approach outperforms Cross-lingual SapBERT for SNOMED-CT MEL on the QuaeroFrenchMed benchmark.

Source: Studies in health technology and informatics

DOI: 10.3233/shti250484

Authors: Amaury Fierens, Alexandre Englebert, Sébastien Jodogne

Institutions: UCLouvain, Cliniques Universitaires Saint-Luc

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4410447934

FWCI: 2.194

Cites:

Cited by: 1

Related to: 10