Unsupervised Text Style Transfer
22 papers with code • 3 benchmarks • 3 datasets
Yelp2018
GYAFC
Yelp
Most implemented papers
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
lijuncen/Sentiment-and-Style-Transfer
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NAACL 2018
We consider the task of text attribute transfer: transforming a sentence to alter a specific attribute (e. g., sentiment) while preserving its attribute-independent content (e. g., changing "screen is just the right size" to "screen is too small").
A Probabilistic Formulation of Unsupervised Text Style Transfer
cindyxinyiwang/deep-latent-sequence-model
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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.
Structured Content Preservation for Unsupervised Text Style Transfer
YouzhiTian/Structured-Content-Preservation-for-Unsupervised-Text-Style-Transfer
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Text style transfer aims to modify the style of a sentence while keeping its content unchanged.
A Dual Reinforcement Learning Framework for 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.
Unsupervised Text Style Transfer using Language Models as Discriminators
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.
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
dayihengliu/Fine-Grained-Style-Transfer
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We propose a new framework that utilizes the gradients to revise the sentence in a continuous space during inference to achieve text style transfer.
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer
ChenWu98/Point-Then-Operate
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ACL 2019
Unsupervised text style transfer aims to alter text styles while preserving the content, without aligned data for supervision.
Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization
GT-SALT/FormalityStyleTransfer
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Findings of the Association for Computational Linguistics 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.
How Positive Are You: Text Style Transfer using Adaptive Style Embedding
kinggodhj/how-positive-are-you-text-style-transfer-using-adaptive-style-embedding
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COLING 2020
In both approaches, however, it is impossible to adjust the strength of the style in the generated output.
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer
machelreid/lewis
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Findings (ACL) 2021
Moreover, compared to previous methods on unsupervised data synthesis, our method results in higher quality parallel style pairs and improves model performance.
