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@@ -15,15 +15,15 @@ This model is used to generate paraphrases. It has been trained on a mix of 3 di
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  We use this model in our ACL'21 Paper ["PROTAUGMENT: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning"](https://arxiv.org/abs/2105.12995)
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- This model, jointly used with generation constraints, allows to generate diverse paraphrases. We use those paraphrases as a data augmentation technique to further boosts a classification model's generalization capability. Feel free to play with the [code](https://github.com/tdopierre/ProtAugment)!
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  If you use this model, please consider citing our paper.
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- ```bash
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  @article{Dopierre2021ProtAugmentUD,
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- title={ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning},
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- author={Thomas Dopierre and C. Gravier and Wilfried Logerais},
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- journal={ArXiv},
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- year={2021},
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- volume={abs/2105.12995}
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  }
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  ```
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  We use this model in our ACL'21 Paper ["PROTAUGMENT: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning"](https://arxiv.org/abs/2105.12995)
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+ Jointly used with generation constraints, this model allows to generate diverse paraphrases. We use those paraphrases as a data augmentation technique to further boosts a classification model's generalization capability. Feel free to play with the [code](https://github.com/tdopierre/ProtAugment)!
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  If you use this model, please consider citing our paper.
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+ ```
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  @article{Dopierre2021ProtAugmentUD,
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+ title={ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning},
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+ author={Thomas Dopierre and C. Gravier and Wilfried Logerais},
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+ journal={ArXiv},
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+ year={2021},
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+ volume={abs/2105.12995}
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  }
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  ```