A two-stage deep learning approach for extracting entities and relationships from medical texts.

This work presents a two-stage deep learning system for Named Entity Recognition (NER) and Relation Extraction (RE) from medical texts. These tasks are a crucial step to many natural language understanding applications in the biomedical domain. Automatic medical coding of electronic medical records,...

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Detalles Bibliográficos
Publicado en:Journal of Biomedical Informatics Vol. 99
Autores principales: Suárez-Paniagua, Víctor, Rivera Zavala, Renzo M., Segura-Bedmar, Isabel, Martínez, Paloma
Formato: research Journal Article
Publicado: Academic Press Inc. Nov2019
Acceso en línea:Ver este registro en EBSCOhost