Papers with style transfer borrow models

1 papers
Formality Style Transfer with Shared Latent Space (2020.coling-main)

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Challenge: Existing approaches for formality style transfer use neural networks for sentence generation, but the dataset for formal style transfer is considerably smaller than translation corpora.
Approach: They propose a new approach for formality style transfer using shared latent space and two auxiliary losses.
Outcome: The proposed approach outperforms baselines in various settings, especially when limited data is available.

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