Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text

BACKGROUND: Extracting relations between important clinical entities is critical but very challenging for natural language processing (NLP) in the medical domain. Researchers have applied deep learning-based approaches to clinical relation extraction; but most of them consider sentence sequence only...

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Detalles Bibliográficos
Autores principales: Li, Zhiheng, Yang, Zhihao, Shen, Chen, Xu, Jun, Zhang, Yaoyun, Xu, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354333/
https://www.ncbi.nlm.nih.gov/pubmed/30700301
http://dx.doi.org/10.1186/s12911-019-0736-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354333/
https://www.ncbi.nlm.nih.gov/pubmed/30700301
http://dx.doi.org/10.1186/s12911-019-0736-9

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