Disease named entity recognition from biomedical literature using a novel convolutional neural network

Disease named entity recognition from biomedical literature using a novel convolutional neural network

Abstract Background Automatic disease named entity recognition (DNER) is of utmost importance for development of more sophisticated BioNLP tools. However, most conventional CRF based DNER systems rely on well-designed features whose selection is labor intensive and time-consuming. Though most deep l...

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Bibliographic Details
Main Authors: Zhehuan Zhao, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Medical Genomics
Subjects:
Disease
Named entity recognition
Convolutional neural network
Deep learning multiple label strategy
Online Access:http://link.springer.com/article/10.1186/s12920-017-0316-8

Internet

http://link.springer.com/article/10.1186/s12920-017-0316-8

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