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Added links for passive <=> active and formal => casual
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README.md

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@@ -252,7 +252,7 @@ target_sentence = sf.transfer(source_sentence, inference_on=0, quality_filter=0.
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## References
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- [Formality Style Transfer for Noisy Text: Leveraging Out-of-Domain
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Parallel Data for In-Domain Training via POS Masking]https://www.aclweb.org/anthology/D19-5502.pdf)
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Parallel Data for In-Domain Training via POS Masking](https://www.aclweb.org/anthology/D19-5502.pdf)
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- [Generative Text Style Transfer for Improved Language Sophistication](http://cs230.stanford.edu/projects_winter_2020/reports/32069807.pdf)
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- [Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer](https://arxiv.org/pdf/1804.06437.pdf)
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