Loading...
The impact of learning Unified Medical Language System knowledge embeddings in relation extraction from biomedical texts
OBJECTIVE: We explored how knowledge embeddings (KEs) learned from the Unified Medical Language System (UMLS) Metathesaurus impact the quality of relation extraction on 2 diverse sets of biomedical texts. MATERIALS AND METHODS: Two forms of KEs were learned for concepts and relation types from the U...
Saved in:
| Published in: | J Am Med Inform Assoc |
|---|---|
| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Oxford University Press
2020
|
| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7647370/ https://ncbi.nlm.nih.gov/pubmed/33029619 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa205 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|