A neural joint model for entity and relation extraction from biomedical text

BACKGROUND: Extracting biomedical entities and their relations from text has important applications on biomedical research. Previous work primarily utilized feature-based pipeline models to process this task. Many efforts need to be made on feature engineering when feature-based models are employed....

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Detalles Bibliográficos
Autores principales: Li, Fei, Zhang, Meishan, Fu, Guohong, Ji, Donghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374588/
https://www.ncbi.nlm.nih.gov/pubmed/28359255
http://dx.doi.org/10.1186/s12859-017-1609-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374588/
https://www.ncbi.nlm.nih.gov/pubmed/28359255
http://dx.doi.org/10.1186/s12859-017-1609-9

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