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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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Bibliografiska uppgifter
I publikationen:J Am Med Inform Assoc
Huvudupphovsmän: Weinzierl, Maxwell A, Maldonado, Ramon, Harabagiu, Sanda M
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2020
Ämnen:
Länkar: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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