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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Bibliographic Details
Main Authors: Luo, Yuan (Author), Szolovits, Peter (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Libertas Academica, Ltd, 2017-02-10T19:40:21Z.
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