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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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Bibliografski detalji
Izdano u:Biomed Inform Insights
Glavni autori: Luo, Yuan, Szolovits, Peter
Format: Artigo
Jezik:Inglês
Izdano: Libertas Academica 2016
Teme:
Online pristup: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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