Attention-based BILSTM network with part-of-speech features for Chinese text classification
The Chinese classification methods based on LSTM can correctly identify the category oftext, but such classification methods mainly focus on learning the text fragments related to the theme without aiming at other aspects of the words in context, especially the implicit feature information contained...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Hebei University of Science and Technology
2018-10-01
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| Series: | Journal of Hebei University of Science and Technology |
| Subjects: | |
| Online Access: | http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b201805010&flag=1&journal_ |