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Unsupervised Text Style Transfer

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Structured Content Preservation for Unsupervised Text Style Transfer

15 Oct 2018asyml/texar

Text style transfer aims to modify the style of a sentence while keeping its content unchanged.

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Unsupervised Text Style Transfer using Language Models as Discriminators

NeurIPS 2018 asyml/texar

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.

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A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

24 May 2019luofuli/DualRL

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.

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A Probabilistic Formulation of Unsupervised Text Style Transfer

ICLR 2020 cindyxinyiwang/TextStyleTransfer

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.

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A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer

ACL 2019 ChenWu98/Point-Then-Operate

Unsupervised text style transfer aims to alter text styles while preserving the content, without aligned data for supervision.

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Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning

29 May 2019dayihengliu/Fine-Grained-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.

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