Update README.md

README.md

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----
-license: other
-license_name: ihtsdo-and-nlm-licences
-license_link: https://www.nlm.nih.gov/databases/umls.html
----
+---
+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)