Chinese Named Entity Recognition of Epidemiological Investigation of Information on COVID-19 Based on BERT

Chinese Named Entity Recognition of Epidemiological Investigation of Information on COVID-19 Based on BERT

The named entity recognition based on the epidemiological investigation of information on COVID-19 can help analyze the source and route of transmission of the epidemic to control the spread of the epidemic better. Therefore, this paper proposes a Chinese named entity recognition model BERT-BiLSTM-I...

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Bibliographic Details
Main Authors: Chongluo Yang, Long Sheng, Zhongcheng Wei, Wei Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Chinese named entity recognition
the epidemiological investigation of information on COVID-19
bidirectional encoder representations from transformer
bidirectional long-short term memory network
iterated dilated convolutional neural network
conditional random field
Online Access:https://ieeexplore.ieee.org/document/9903647/

Internet

https://ieeexplore.ieee.org/document/9903647/

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