Publication: Hypothesis Engineering for Zero-Shot Hate Speech Detection
Hypothesis Engineering for Zero-Shot Hate Speech Detection
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Goldzycher, J., & Schneider, G. (2022). Hypothesis Engineering for Zero-Shot Hate Speech Detection. 75–90. https://aclanthology.org/2022.trac-1.10
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Standard approaches to hate speech detection rely on sufficient available hate speech annotations. Extending previous work that repurposes natural language inference (NLI) models for zero-shot text classification, we propose a simple approach that combines multiple hypotheses to improve English NLI-based zero-shot hate speech detection. We first conduct an error analysis for vanilla NLI-based zero-shot hate speech detection and then develop four strategies based on this analysis. The strategies use multiple hypotheses to predict vario
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Citations
Goldzycher, J., & Schneider, G. (2022). Hypothesis Engineering for Zero-Shot Hate Speech Detection. 75–90. https://aclanthology.org/2022.trac-1.10
