A hybrid model based on neural networks for biomedical relation extraction

[Display omitted] •A hybrid model is proposed based on RNNs and CNNs to extract biomedical relation.•To leverage the dependency features, shortest dependency path is generated and integrated with sentence sequence.•Our model combines the advantages of RNNs and CNNs and learns the feature representat...

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Veröffentlicht in:	Journal of biomedical informatics 2018-05, Vol.81, p.83-92
Hauptverfasser:	Zhang, Yijia, Lin, Hongfei, Yang, Zhihao, Wang, Jian, Zhang, Shaowu, Sun, Yuanyuan, Yang, Liang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biomedical literature Convolutional neural networks Data Mining Drug Interactions False Positive Reactions Humans Machine Learning Medical Informatics - methods Models, Statistical Natural Language Processing Neural Networks, Computer Pattern Recognition, Automated Recurrent neural networks Relation extraction Research Design
Online-Zugang:	Volltext
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