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We slightly modify [RoBERTa-Large NLI](https://huggingface.co/ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli) model architectures (see the scheme below) and fin-tune it with [QQP](https://www.kaggle.com/c/quora-question-pairs) paraphrases dataset.
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If you find this repository helpful, feel free to cite our publication:
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```
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We slightly modify [RoBERTa-Large NLI](https://huggingface.co/ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli) model architectures (see the scheme below) and fin-tune it with [QQP](https://www.kaggle.com/c/quora-question-pairs) paraphrases dataset.
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![alt text](https://huggingface.co/SkolkovoInstitute/Mutual_Implication_Score/raw/main/MIS.jpg)
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## Performance on Text Style Transfer and Paraphrase Detection tasks
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This measure was developed in terms of large scale comparison of different measures on text style transfer and paraphrases datasets.
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## Citations
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If you find this repository helpful, feel free to cite our publication:
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```
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