Electric Power Audit Text Classification With Multi-Grained Pre-Trained Language Model

Electric Power Audit Text Classification With Multi-Grained Pre-Trained Language Model

Electric power audit text classification is one of the important research problem in electric power systems. Recently, kinds of automatic classification methods for these texts based on machine learning or deep learning models have been applied. At present, the development of computing technology ma...

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Bibliographic Details
Main Authors: Qinglin Meng, Yan Song, Jian Mu, Yuanxu Lv, Jiachen Yang, Liang Xu, Jin Zhao, Junwei Ma, Wei Yao, Rui Wang, Maoxiang Xiao, Qingyu Meng
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Pre-trained language model
text classification
electric power audit text
natural language processing
masked language model
Online Access:https://ieeexplore.ieee.org/document/10026821/

Internet

https://ieeexplore.ieee.org/document/10026821/

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