---
license: other
license_name: ihtsdo-and-nlm-licences
license_link: https://www.nlm.nih.gov/databases/umls.html
language:
- nl
- en
library_name: sentence-transformers
tags:
- medical
- biology
---

# 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 support in-context embedding of concepts, using the following template:
```
mention text [SEP] (context: ... a textual example containing mention text and some more text on both sides ...)
```

It also supports embedding mentions without context, particularly in English.



## 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](https://academic.oup.com/jamia/advance-article/doi/10.1093/jamia/ocae029/7614965)

### 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](https://www.medrxiv.org/content/medrxiv/early/2024/03/15/2024.03.14.24304289.full.pdf)