Weakly Supervised Chinese Short Text Classification Algorithm Based on ConWea Model-Reference-Cited by-同舟云学术

Weakly Supervised Chinese Short Text Classification Algorithm Based on ConWea Model

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)
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Author:

Wang Shoujin¹,Duan Chengyu¹,Yang Yuanjiao¹

Affiliation:

1. School of Computer Science and Engineering Shenyang Jianzhu University,Shenyang,China

Funder

Educational Department of Liaoning Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10046660/10046669/10047503.pdf?arnumber=10047503

Reference19 articles.

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2. A brief introduction to weakly supervised learning

3. Weakly Supervised Short Text Categorization Using World Knowledge

4. Research on Text Classification Based on Semi-Supervision and Word Vector Weighting [J];jianguo;Software Guide,2020

5. Two-channel DAC-RNN text classification model based on attention mechanism [J/OL][J];qixing;Computer Engineering and Applications,2021

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