Papers by Sandra Sajeev
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection (2023.acl-long)
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| Challenge: | Existing approaches to content moderation are based on rule-based heuristics, but they lack the flexibility and robustness needed to moderate harmful content. |
| Approach: | They propose a novel contrastive learning approach for learning from logical rules for content moderation using only a few data examples. |
| Outcome: | The proposed approach outperforms state-of-the-art deep learning classifiers while providing more explainable predictions. |