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• W2964321064 abstract "Style transfer is the task of automatically transforming a piece of text in one particular style into another. A major barrier to progress in this field has been a lack of training and evaluation datasets, as well as benchmarks and automatic metrics. In this work, we create the largest corpus for a particular stylistic transfer (formality) and show that techniques from the machine translation community can serve as strong baselines for future work. We also discuss challenges of using automatic metrics." @default.
• W2964321064 created "2019-07-30" @default.
• W2964321064 creator A5001484153 @default.
• W2964321064 creator A5038106045 @default.
• W2964321064 date "2018-01-01" @default.
• W2964321064 modified "2023-10-02" @default.
• W2964321064 title "Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer" @default.
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• W2964321064 doi "https://doi.org/10.18653/v1/n18-1012" @default.
• W2964321064 hasPublicationYear "2018" @default.
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