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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Detalles Bibliográficos
Autores principales: Luo, Yuan, Szolovits, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954589/
https://www.ncbi.nlm.nih.gov/pubmed/27478379
http://dx.doi.org/10.4137/BII.S38916

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954589/
https://www.ncbi.nlm.nih.gov/pubmed/27478379
http://dx.doi.org/10.4137/BII.S38916

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