xMEN
xMEN is an extensible toolkit for Cross-lingual (x) Medical Entity Normalization. Through its compatibility with the BigBIO (BigScience Biomedical) framework, it can be used out-of-the box to run experiments with many open biomedical datasets. It can also be easily integrated with existing Named Entity Recognition (NER) pipelines.
Links
References
Florian Borchert, Ignacio Llorca, Roland Roller, Bert Arnrich, Matthieu-P. Schapranow xMEN: A Modular Toolkit for Cross-Lingual Medical Entity Normalization. arXiv preprint arXiv:2310.11275 (2023). [Code]
Florian Borchert, Ignacio Llorca, Matthieu-P. Schapranow Cross-Lingual Candidate Retrieval and Re-ranking for Biomedical Entity Linking. In: Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2023. Lecture Notes in Computer Science, vol 14163. Springer, Cham 🏆 Best of Labs (BioASQ, CLEF 2022)
Florian Borchert and Matthieu-P. Schapranow. HPI-DHC @ BioASQ DisTEMIST: Spanish Biomedical Entity Linking with Pre-trained Transformers and Cross-lingual Candidate Retrieval. Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, pp. 244-258. Bologna, Italy. 🏆 1st place DisTEMIST shared task (entity linking subtrack) [Link] [Code]
