Papers by Tal Ilan
HARALD: Augmenting Hate Speech Data Sets with Real Data (2022.findings-emnlp)
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| Challenge: | Hate speech detection depends on the availability of variable labeled data. |
| Approach: | They propose a method that uses real unlabelled data from online platforms to augment existing models by harvesting and processing it. |
| Outcome: | The proposed approach improves the classification performance of hate speech classification models. |