BioWordVec
paper - code - Word embeddings derived from biomedical text (>27 million PubMed titles and abstracts), including subword embedding model based on MeSH.
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- Biomedical Information Extraction
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- 2026-10-10
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This paper from Hongfang Liu's group at Mayo Clinic sciencedirect.com
demonstrates how text embeddings trained on biomedical or clinical text can, but don't always, perform better on biomedical natural language processing tasks. That being said, pre-trained embeddings may be appropriate for your needs, especially as training domain-specific…
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word-embedding github.com
Biomedical Information Extraction › Techniques and Models > Text Embeddings: “paper - code - Word embeddings derived from biomedical text (>27 million PubMed titles and abstracts), including subword embedding model based on MeSH.”