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Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records

In natural language processing, stand-off annotation uses the starting and ending positions of an annotation to anchor it to the text and stores the annotation content separately from the text. We address the fundamental problem of efficiently storing stand-off annotations when applying natural lang...

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Detalhes bibliográficos
Publicado no:Biomed Inform Insights
Main Authors: Luo, Yuan, Szolovits, Peter
Formato: Artigo
Idioma:Inglês
Publicado em: Libertas Academica 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4954589/
https://ncbi.nlm.nih.gov/pubmed/27478379
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/BII.S38916
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