Papers by Amir Adler
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech (2021.findings-emnlp)
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| Challenge: | Existing methods for hate speech detection are limited in size and lack of labeled datasets. |
| Approach: | They employ pretrained language models to generate large amounts of hate speech sequences from available labeled examples. |
| Outcome: | The proposed model improves generalization significantly and consistently within and across data distributions. |