Enhancing social network hate detection using back translation and GPT-3 augmentations during training and test-time
Abstract: Highlights•Apply Test-Time Augmentation in NLP to improve hate speech detection.•Enhance augmentation quality with a selection method to filter unsuitable ones.•Merge DeBERTa, back-translation & GPT-3 to boost hate speech detection.•Manage hate speech complexities - effectively detects slang & implicit language.
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