Learning from Ideography and Labels: A Schema-aware Radical-guided Associative Model for Chinese Text Classification-Reference-Cited by-同舟云学术

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Learning from Ideography and Labels: A Schema-aware Radical-guided Associative Model for Chinese Text Classification

Published:2022 Issue: Volume: Page:1-1
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Tao Hanqing¹,Zhu Guanqi¹,Chen Enhong¹,Tong Shiwei¹,Zhang Kun²,Xu Tong¹,Liu Qi¹,Ong Yew-Soon³

Affiliation:

1. School of Computer Science and Technology, University of Science and Technology of China, 12652 Hefei, Anhui, China

2. School of Computer Science and Information Engineering, Hefei University of Technology, 558979 Hefei, Anhui, China

3. School of Computer Engineering, Nanyang Technological University, 54761 Singapore, Singapore, Singapore

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09770424.pdf?arnumber=9770424

Reference76 articles.

1. Essentials of a Theory of Language Cognition

2. Compositional Recurrent Neural Networks for Chinese Short Text Classification

3. Natural speech reveals the semantic maps that tile human cerebral cortex

4. Glyce: Glyph-vectors for chinese character representations;wu,2019

5. CMiner: Opinion Extraction and Summarization for Chinese Microblogs

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Text Classification Model Combining Time Correlation Principle and Rough Set Theory;IEEE Access;2023

2. Class-Dynamic and Hierarchy-Constrained Network for Entity Linking;Database Systems for Advanced Applications;2023

3. Text Classification via Learning Semantic Dependency and Association;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

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