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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Bibliographic Details
Main Authors: CAO, Rui, LEE, Roy Ka-Wei
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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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Institution: Singapore Management University
Language: English