Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection-Reference-Cited by-同舟云学术

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Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection

Published:2024-02 Issue:1 Volume:11 Page:1086-1095
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Awal Md Rabiul¹,Lee Roy Ka-Wei²^ORCID,Tanwar Eshaan³,Garg Tanmay⁴,Chakraborty Tanmoy⁵^ORCID

Affiliation:

1. Department of Computer Science, University of Saskatchewan, Saskatoon, Canada

2. Design and Artificial Intelligence, Singapore University of Technology and Design, Tampines, Singapore

3. College of Engineering, DTU-Delhi, Delhi, India

4. Department of Computer Science and Engineering, IIIT-Delhi, Delhi, India

5. Department of Electrical Engineering, IIT Delhi, Delhi, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6570650/10414252/10100717.pdf?arnumber=10100717

Reference50 articles.

1. One-step and Two-step Classification for Abusive Language Detection on Twitter

2. DeepHate: Hate Speech Detection via Multi-Faceted Text Representations

3. AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection

4. Early Prediction of Hate Speech Propagation

5. Predicting hate intensity of Twitter conversation threads;Meng;arXiv:2206.08406,2022

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1. Meta-learning Approaches for Few-Shot Learning: A Survey of Recent Advances;ACM Computing Surveys;2024-07-25

2. Towards safer online communities: Deep learning and explainable AI for hate speech detection and classification;Computers and Electrical Engineering;2024-05

3. A survey on multi-lingual offensive language detection;PeerJ Computer Science;2024-03-29

4. Multi-class hate speech detection in the Norwegian language using FAST-RNN and multilingual fine-tuned transformers;Complex & Intelligent Systems;2024-03-21

5. Hate speech detection: A comprehensive review of recent works;Expert Systems;2024-02-25

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