Long short-term memory RNN for biomedical named entity recognition

Long short-term memory RNN for biomedical named entity recognition

Abstract Background Biomedical named entity recognition(BNER) is a crucial initial step of information extraction in biomedical domain. The task is typically modeled as a sequence labeling problem. Various machine learning algorithms, such as Conditional Random Fields (CRFs), have been successfully...

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Bibliographic Details
Main Authors: Chen Lyu, Bo Chen, Yafeng Ren, Donghong Ji
Format: Article
Language:English
Published: BMC 2017-10-01
Series:BMC Bioinformatics
Subjects:
Biomedical named entity recognition
Word embeddings
Character representation
Recurrent neural network
LSTM
Online Access:http://link.springer.com/article/10.1186/s12859-017-1868-5

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http://link.springer.com/article/10.1186/s12859-017-1868-5

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