xMEN: a modular toolkit for cross-lingual medical entity normalization
xMEN exhibits strong performance for medical entity normalization in many languages, even when no labeled data and few terminology aliases for the target language are available. To enable reproducible benchmarks in the future, we make the system available as an open-source Python toolkit. The pre-trained models and source code are available online: https://github.com/hpi-dhc/xmen.
Authors
- Florian Borchert (ORCID: https://orcid.org/0000-0003-1079-6500)
- Roland Roller (ORCID: https://orcid.org/0000-0001-7900-4116)
- Matthieu-P. Schapranow (ORCID: https://orcid.org/0000-0001-6601-2942)
- Bert Arnrich (ORCID: https://orcid.org/0000-0001-8380-7667)
- Ignacio Llorca (ORCID: https://orcid.org/0009-0005-6256-1879)
Institutions
- Hasso Plattner Institute (DE)
- University of Potsdam (DE)
- German Research Centre for Artificial Intelligence (DE)
Publication Details
- Journal
- JAMIA Open
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/jamiaopen/ooae147
- Citations
- 6
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 1.40