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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...
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| Publicado en: | J Am Med Inform Assoc |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2020
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| Assuntos: | |
| Acceso en liña: | 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 |
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