Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer (P18-2)
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| Challenge: | Existing methods to tackle the problem of offensive language in social media are based on machine learning. |
| Approach: | They propose a method for training encoder-decoders using non-parallel data . they use a collaborative classifier, attention and the cycle consistency loss . |
| Outcome: | The proposed method outperforms state-of-the-art text style transfer systems on Twitter and Reddit . it produces reliable non-offensive transferred sentences, the authors show . |
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