A Comparison of Word Embeddings for the Biomedical Natural Language Processing

BACKGROUND: Word embeddings have been prevalently used in biomedical Natural Language Processing (NLP) applications due to the vector representations of words capturing useful semantic properties and linguistic relationships between words. Different textual resources (e.g., Wikipedia and biomedical...

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Détails bibliographiques
Publié dans:J Biomed Inform
Auteurs principaux: Wang, Yanshan, Liu, Sijia, Afzal, Naveed, Rastegar-Mojarad, Majid, Wang, Liwei, Shen, Feichen, Kingsbury, Paul, Liu, Hongfang
Format: Artigo
Langue:Inglês
Publié: 2018
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Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6585427/
https://ncbi.nlm.nih.gov/pubmed/30217670
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2018.09.008
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