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
Publicado en:Biomedical Informatics Insights no. 8; pp. 29 - 39
Autores principales: Luo, Yuan, Szolovits, Peter
Formato: equations & formulas pictorial tables/charts Journal Article
Publicado: Sage Publications Inc. 2016
Acceso en línea:Ver este registro en EBSCOhost