A neural network multi-task learning approach to biomedical named entity recognition

BACKGROUND: Named Entity Recognition (NER) is a key task in biomedical text mining. Accurate NER systems require task-specific, manually-annotated datasets, which are expensive to develop and thus limited in size. Since such datasets contain related but different information, an interesting question...

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Detalles Bibliográficos
Autores principales: Crichton, Gamal, Pyysalo, Sampo, Chiu, Billy, Korhonen, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5558737/
https://www.ncbi.nlm.nih.gov/pubmed/28810903
http://dx.doi.org/10.1186/s12859-017-1776-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5558737/
https://www.ncbi.nlm.nih.gov/pubmed/28810903
http://dx.doi.org/10.1186/s12859-017-1776-8

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