Text Style Transfer (TST) is performable through approaches such as latent space disentanglement, cycle-consistency losses, prototype editing etc.
Oct 12, 2022 · Text Style Transfer (TST) is performable through approaches such as latent space disentanglement, cycle-consistency losses, prototype editing etc.
Text style transfer (TST) aims at automatically changing a text's stylistic features, such as formality, sentiment, authorial style, humor, and complexity, ...
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On Text Style Transfer via Style-Aware Masked Language ...
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This study is an exploratory observation of the strategies employed by a group of musically naive and pre-literate kindergarten children to notate familiar ...
On Text Style Transfer via Style-Aware Masked Language Models. Sharan Narasimhan | Pooja H | Suvodip Dey | Maunendra Sankar Desarkar |. Paper Details: Month ...
We propose MASKER, an unsupervised text-editing method for style transfer. To tackle cases when no parallel source–target pairs are available, we train masked ...
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The experiments on sentence fusion and sentiment transfer demonstrate that Masker performs competitively in a fully unsupervised setting, ...
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Feb 21, 2024 · Attention masking method consists of a mask predictor and a styled filling model, which take charge of identifying the positions of stylistic ...
This is a paper list for style transfer in text. It also contains some related research areas, including controlled text generation.
Text-style transfer aims to convert text given in one domain into another by paraphrasing the sentence or substituting the keywords without altering the content ...