Named Entity Recognition From Biomedical Texts Using a Fusion Attention-Based BiLSTM-CRF

Named Entity Recognition From Biomedical Texts Using a Fusion Attention-Based BiLSTM-CRF

Biomedical named entity recognition (BNER) is the basis of biomedical text mining and one of the core sub-tasks of information extraction. Previous BNER models based on conventional machine learning rely on time-consuming feature engineering. Though most neural network methods improve the problems w...

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Bibliographic Details
Main Authors: Hao Wei, Mingyuan Gao, Ai Zhou, Fei Chen, Wen Qu, Chunli Wang, Mingyu Lu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Biomedical text
named entity recognition
attention mechanism
long short-term memory
conditional random field
Online Access:https://ieeexplore.ieee.org/document/8730360/

Internet

https://ieeexplore.ieee.org/document/8730360/

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