Detecting Offensive Language Based on Graph Attention Networks and Fusion Features-Reference-Cited by-同舟云学术

Detecting Offensive Language Based on Graph Attention Networks and Fusion Features

Author:

Miao Zhenxiong¹^ORCID,Chen Xingshu²^ORCID,Wang Haizhou¹^ORCID,Tang Rui¹^ORCID,Yang Zhou¹^ORCID,Huang Tiemai³,Tang Wenyi¹^ORCID

Affiliation:

1. School of Cyber Science and Engineering, Sichuan University, Chengdu, China

2. School of Cyber Science and Engineering and the Cyber Science Research Institute, Sichuan University, Chengdu, China

3. China Mobile (Chengdu) Information and Telecommunication Technology Company Ltd., Chengdu, China

Funder

Key Research and Development Program of Science and Technology Department of Sichuan Province

National Key Research and Development Program of China

National Natural Science Foundation of China

Science and Engineering Connotation Development Project of Sichuan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

Reference65 articles.

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2. Detection of Offensive Language in Code-Mixed Text on Social Media;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03