Extracting entities with attributes in clinical text via joint deep learning.
Objective: Extracting clinical entities and their attributes is a fundamental task of natural language processing (NLP) in the medical domain. This task is typically recognized as 2 sequential subtasks in a pipeline, clinical entity or attribute recognition followed by entity-attribute relation extr...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 26; no. 12; pp. 1584 - 1592 |
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| Autores principales: | , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Dec2019
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| Acceso en línea: | Ver este registro en EBSCOhost |