Chemical-induced disease relation extraction via attention-based distant supervision

Chemical-induced disease relation extraction via attention-based distant supervision

Abstract Background Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedical entities from scientific literature, it...

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Bibliographic Details
Main Authors: Jinghang Gu, Fuqing Sun, Longhua Qian, Guodong Zhou
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Bioinformatics
Subjects:
Biomedical relation extraction
Distant supervision
Attention
Deep learning
Online Access:http://link.springer.com/article/10.1186/s12859-019-2884-4

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http://link.springer.com/article/10.1186/s12859-019-2884-4

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