Knowledge-guided convolutional networks for chemical-disease relation extraction

BACKGROUND: Automatic extraction of chemical-disease relations (CDR) from unstructured text is of essential importance for disease treatment and drug development. Meanwhile, biomedical experts have built many highly-structured knowledge bases (KBs), which contain prior knowledge about chemicals and...

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Detalles Bibliográficos
Autores principales: Zhou, Huiwei, Lang, Chengkun, Liu, Zhuang, Ning, Shixian, Lin, Yingyu, Du, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528333/
https://www.ncbi.nlm.nih.gov/pubmed/31113357
http://dx.doi.org/10.1186/s12859-019-2873-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528333/
https://www.ncbi.nlm.nih.gov/pubmed/31113357
http://dx.doi.org/10.1186/s12859-019-2873-7

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