An alert-situation text data augmentation method based on MLMOA
The performance of deep learning models is heavily reliant on the quality and quantity of train-ing data.Insufficient training data will lead to overfitting.However,in the task of alert-situation text classification,it is usu…查看全部>>
DING Weijie;MAO Tingyun;CHEN Lili;ZHOU Mingwei;YUAN Ying;HU Wentao
Department of Computer and Information Security,Zhejiang Police College,Hangzhou 310053,P.R.China Key Laboratory of Public Security Information Application Based on Big-Data Architecture,Ministry of Public Security,Hangzhou 310053,P.R.ChinaZhejiang Dahua Technology Co.,Ltd,Hangzhou 310053,P.R.ChinaZhejiang Dahua Technology Co.,Ltd,Hangzhou 310053,P.R.ChinaZhejiang Dahua Technology Co.,Ltd,Hangzhou 310053,P.R.ChinaDepartment of Computer and Information Security,Zhejiang Police College,Hangzhou 310053,P.R.China Key Laboratory of Public Security Information Application Based on Big-Data Architecture,Ministry of Public Security,Hangzhou 310053,P.R.ChinaDepartment of Computer and Information Security,Zhejiang Police College,Hangzhou 310053,P.R.China Key Laboratory of Public Security Information Application Based on Big-Data Architecture,Ministry of Public Security,Hangzhou 310053,P.R.China
计算机与自动化
deep learningtext data augmentationmasked language model(MLM)alert-sit-uation text classification
《High Technology Letters》 2024 (4)
P.389-396,8
Supported by the Humanities and Social Sciences Research Project of the Ministry of Education(No.22YJA840004).
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