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Knowledge-guided convolutional networks for chemical-disease relation extraction

Abstract 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 chemic...

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Principais autores: Huiwei Zhou, Chengkun Lang, Zhuang Liu, Shixian Ning, Yingyu Lin, Lei Du
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2019-05-01
coleção:BMC Bioinformatics
Assuntos:
CDR extraction
Gating units
Attention mechanism
Knowledge representations
Context features
Acesso em linha:http://link.springer.com/article/10.1186/s12859-019-2873-7
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