KliniskVestBERT: BERT Model Specialised to Norwegian Clinical Texts
The increasing application of Natural Language Processing (NLP) in healthcare demands language models specifically attuned to the complexities of clinical language. This work introduces KliniskVestBERT, a suite of three BERT-based encoder models pre-trained on a substantial corpus of real-world, de-identified Norwegian clinical texts from Helse Vest. We continue pretraining existing language models Nb-BERT-large, NorBERT3-large, and ModernBERT on our specialized clinical dataset. This dataset is based on a representative population of Helse Vest patients. The included document types are carefully curated to encompass a broad clinical spectrum in bokmål and nynorsk including discharge summ...
| Authors | Christian Autenried, Cosimo Persia |
|---|---|
| Primary category | cs.CL |
| Published | 1 June 2026 |
| Last updated at source | 2 June 2026 |
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