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This is a RoBERTa-large classifier trained on the CoLA corpus [Warstadt et al., 2019](https://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00290), |
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which contains sentences paired with grammatical acceptability judgments. The model can be used to evaluate fluency of machine-generated English sentences, e.g. for evaluation of text style transfer. |
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The model was trained in the paper [Krishna et al, 2020. Reformulating Unsupervised Style Transfer as Paraphrase Generation](https://arxiv.org/abs/2010.05700), and its original version is available at [their project page](http://style.cs.umass.edu). We converted this model from Fairseq to Transformers format. All credit goes to the authors of the original paper. |
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## Citation |
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If you found this model useful and refer to it, please cite the original work: |
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``` |
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@inproceedings{style20, |
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author={Kalpesh Krishna and John Wieting and Mohit Iyyer}, |
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Booktitle = {Empirical Methods in Natural Language Processing}, |
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Year = "2020", |
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Title={Reformulating Unsupervised Style Transfer as Paraphrase Generation}, |
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} |
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``` |