SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields

SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields

Abstract Background Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice. The accurate identification of disease NER is a still an open and essential rese...

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Bibliographic Details
Main Authors: Kai Xu, Zhanfan Zhou, Tao Gong, Tianyong Hao, Wenyin Liu
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Biomedical informatics
Text mining
Machine learning
Neural networks
Online Access:http://link.springer.com/article/10.1186/s12911-018-0690-y

Internet

http://link.springer.com/article/10.1186/s12911-018-0690-y

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