Gizem Gezici
1 indexed paper
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126
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NLP×1
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2026
Disagreeing Rationales: Rethinking Classification and Explainability Evaluation in Hate Speech Detection
This paper proposes a unified evaluation framework for hate speech detection that systematically assesses model performance and explainability across various label and rationale representation spaces, showing that soft representations are superior for capturing human variation.
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Papers
cs.CLRecentMay 29, 2026
Disagreeing Rationales: Rethinking Classification and Explainability Evaluation in Hate Speech Detection
Benedetta Muscato, Beiduo Chen, Gizem Gezici, Barbara Plank +1 more
This paper proposes a unified evaluation framework for hate speech detection that systematically assesses model performance and explainability across various label and rationale representation spaces,…
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