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...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Libertas Academica, Ltd
2017
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| Online Access: | http://hdl.handle.net/1721.1/106905 https://orcid.org/0000-0001-8411-6403 |