HateGAN: Adversarial generative-based data augmentation for hate speech detection
Academia and industry have developed machine learning and natural language processing models to detect online hate speech automatically. However, most of these existing methods adopt a supervised approach that heavily depends on labeled datasets for training. This results in the methods’ poor detect...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2020
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/scis_studentpub/3 https://ink.library.smu.edu.sg/context/scis_studentpub/article/1001/viewcontent/2020.coling_main.557.pdf |
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