Papers with contrastive transfer

1 papers
Text Style Transfer with Contrastive Transfer Pattern Mining (2023.acl-long)

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Challenge: Existing methods for text style transfer only focus on the transformation between styles, yet they do not take into account that this transformation can be achieved via different hidden transfer patterns.
Approach: They propose a novel approach which automatically mines hidden transfer patterns to improve TST . they use a clustering module to automatically discover hidden transfer pattern from the data .
Outcome: The proposed method can be applied in a plug-and-play manner to enhance other methods to further improve their performance.

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