Unsupervised Text Style Transfer

8 papers with code • 2 benchmarks • 1 datasets

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Greatest papers with code

Structured Content Preservation for Unsupervised Text Style Transfer

asyml/texar 15 Oct 2018

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

Language Modelling Style Transfer +2

Unsupervised Text Style Transfer using Language Models as Discriminators

asyml/texar NeurIPS 2018

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 +3

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

luofuli/DualRL 24 May 2019

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.

Text Style Transfer Unsupervised Text Style Transfer

A Probabilistic Formulation of Unsupervised Text Style Transfer

cindyxinyiwang/deep-latent-sequence-model ICLR 2020

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 +5

A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer

ChenWu98/Point-Then-Operate ACL 2019

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

Style Transfer Text Style Transfer +1

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

dayihengliu/Fine-Grained-Style-Transfer 29 May 2019

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 +1

Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization

GT-SALT/FormalityStyleTransfer 10 Oct 2020

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 +2

NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer

thu-coai/NAST 4 Jun 2021

First, we observe that most words in the transferred sentence can be aligned with related words in the source sentence, so we explicitly model word alignments to suppress irrelevant words.

Style Transfer Text Style Transfer +2