In Context Dutch Clinical Embeddings with BioLORD & MedMentions Do mentions sharing the same text need to have the same embedding? No! This model supports embedding biomedical entities in both English and Dutch, but allows the in context embedding of concepts, using the following template: It also supports embedding mentions without context, particularly in English. NOTE: Unlike other models in the series, this model uses the [CLS] token to embed the mention. References 📖 BioLORD 2023: semantic textual representations fusing large language models and clinical knowledge graph insights Journal of the American Medical Informatics Association, 2024 François Remy, Kris Demuynck, Thomas Demeester view online 📖 Annotation preserving machine translation of English corpora to validate Dutch clinical concept extraction tools Under review, with a preprint available on Medrxiv.org, 2024 Tom Seinen, Jan Kors, Erik van Mulligen, Peter Rijnbeek view online Citation This model accompanies the BioLORD 2023: Learning Ontological Representations from Definitions paper. When you use this model, please cite the original paper as follows: Usage (Sentence Transformers) This is a sentence transformers m…
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