Text style transfer aims to modify the style of a sentence while keeping its content unchanged.
LANGUAGE MODELLING STYLE TRANSFER TEXT STYLE TRANSFER UNSUPERVISED TEXT STYLE TRANSFER
Binary classifiers are often employed as discriminators in GAN-based unsupervised style transfer systems to ensure that transferred sentences are similar to sentences in the target domain.
DECIPHERMENT LANGUAGE MODELLING STYLE TRANSFER TEXT STYLE TRANSFER UNSUPERVISED TEXT STYLE TRANSFER
Therefore, in this paper, we propose a dual reinforcement learning framework to directly transfer the style of the text via a one-step mapping model, without any separation of content and style.
Ranked #1 on
Unsupervised Text Style Transfer
on Yelp
Across all style transfer tasks, our approach yields substantial gains over state-of-the-art non-generative baselines, including the state-of-the-art unsupervised machine translation techniques that our approach generalizes.
DECIPHERMENT LANGUAGE MODELLING STYLE TRANSFER TEXT STYLE TRANSFER UNSUPERVISED MACHINE TRANSLATION UNSUPERVISED TEXT STYLE TRANSFER VARIATIONAL INFERENCE
Unsupervised text style transfer aims to alter text styles while preserving the content, without aligned data for supervision.
STYLE TRANSFER TEXT STYLE TRANSFER UNSUPERVISED TEXT STYLE TRANSFER
We propose a new framework that utilizes the gradients to revise the sentence in a continuous space during inference to achieve text style transfer.
STYLE TRANSFER TEXT STYLE TRANSFER UNSUPERVISED TEXT STYLE TRANSFER
Formality style transfer is the task of converting informal sentences to grammatically-correct formal sentences, which can be used to improve performance of many downstream NLP tasks.
LANGUAGE MODELLING STYLE TRANSFER TEXT STYLE TRANSFER UNSUPERVISED TEXT STYLE TRANSFER