首页|期刊导航|东华大学学报(英文版)|Long Text Classification Algorithm Using a Hybrid Model of Bidirectional Encoder Representation from Transformers-Hierarchical Attention Networks-Dilated Convolutions Network
东华大学学报(英文版)2021,Vol.38Issue(4):341-350,10.DOI:10.19884/j.1672-5220.202101014
Long Text Classification Algorithm Using a Hybrid Model of Bidirectional Encoder Representation from Transformers-Hierarchical Attention Networks-Dilated Convolutions Network
Long Text Classification Algorithm Using a Hybrid Model of Bidirectional Encoder Representation from Transformers-Hierarchical Attention Networks-Dilated Convolutions Network
摘要
关键词
long text classification/dilated convolution/BERT/fusing context semantic features/hierarchical characteristics/BERT_HAN_DCN/AM-softmaxKey words
long text classification/dilated convolution/BERT/fusing context semantic features/hierarchical characteristics/BERT_HAN_DCN/AM-softmax分类
信息技术与安全科学引用本文复制引用
ZHAO Yuanyuan,GAO Shining,LIU Yang,GONG Xiaohui..Long Text Classification Algorithm Using a Hybrid Model of Bidirectional Encoder Representation from Transformers-Hierarchical Attention Networks-Dilated Convolutions Network[J].东华大学学报(英文版),2021,38(4):341-350,10.基金项目
Fundamental Research Funds for the Central University,China(No.2232018D3-17) (No.2232018D3-17)