Aligning Implied Statements for Implicit Hate Speech Generalizability with Context-Bounded Semi-hard Negative Mining

In three linesImpSH, a triplet-based framework, improves implicit hate speech detection by aligning posts with implied statements and using context-bounded semi-hard negatives. Evaluated on IHC, SBIC, and DynaHate with BERT and HateBERT, it enhances cross-domain performance and provides more stable representations than standard supervised contrastive approaches.

Summary generated by Claude — human-verified