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Clinical Natural Language Processing in languages other than English: opportunities and challenges

Journal of biomedical semantics, 2018-03, Vol.9 (1), p.12-12, Article 12 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2018 ;ISSN: 2041-1480 ;EISSN: 2041-1480 ;DOI: 10.1186/s13326-018-0179-8 ;PMID: 29602312

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  • Title:
    Clinical Natural Language Processing in languages other than English: opportunities and challenges
  • Author: Névéol, Aurélie ; Dalianis, Hercules ; Velupillai, Sumithra ; Savova, Guergana ; Zweigenbaum, Pierre
  • Subjects: Clinical Decision-Making ; Computation and Language ; Computational linguistics ; Computer Science ; Decision-making ; Humans ; Language processing ; Languages other than English ; Natural language interfaces ; Natural Language Processing ; Review ; Semantics
  • Is Part Of: Journal of biomedical semantics, 2018-03, Vol.9 (1), p.12-12, Article 12
  • Description: Natural language processing applied to clinical text or aimed at a clinical outcome has been thriving in recent years. This paper offers the first broad overview of clinical Natural Language Processing (NLP) for languages other than English. Recent studies are summarized to offer insights and outline opportunities in this area. We envision three groups of intended readers: (1) NLP researchers leveraging experience gained in other languages, (2) NLP researchers faced with establishing clinical text processing in a language other than English, and (3) clinical informatics researchers and practitioners looking for resources in their languages in order to apply NLP techniques and tools to clinical practice and/or investigation. We review work in clinical NLP in languages other than English. We classify these studies into three groups: (i) studies describing the development of new NLP systems or components de novo, (ii) studies describing the adaptation of NLP architectures developed for English to another language, and (iii) studies focusing on a particular clinical application. We show the advantages and drawbacks of each method, and highlight the appropriate application context. Finally, we identify major challenges and opportunities that will affect the impact of NLP on clinical practice and public health studies in a context that encompasses English as well as other languages.
  • Publisher: England: BioMed Central Ltd
  • Language: English
  • Identifier: ISSN: 2041-1480
    EISSN: 2041-1480
    DOI: 10.1186/s13326-018-0179-8
    PMID: 29602312
  • Source: GFMER Free Medical Journals
    MEDLINE
    PubMed Central
    SWEPUB Freely available online
    Springer Nature OA/Free Journals
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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