Papers by Isadora Salles
HateBRXplain: A Benchmark Dataset with Human-Annotated Rationales for Explainable Hate Speech Detection in Brazilian Portuguese (2025.coling-main)
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| Challenge: | Hate speech detection systems have been developed to inhibit offensive and hateful language from being published or spread on the Web and social media. |
| Approach: | They propose to use a Portuguese dataset to provide rationales for hate speech detection with text span annotations. |
| Outcome: | The proposed models outperform the baselines in Portuguese and showed that they provide plausible explanations when compared to human annotations. |