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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Libertas Academica
2016
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| 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 |