Browse State-of-the-Art › Text Attribute Transfer
Text Attribute Transfer
5 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
The goal of the Text Attribute Transfer task is to change an input text such that the value of a particular linguistic attribute of interest (e.g. language = English, sentiment = Positive) is transferred to a different desired value (e.g. language = French, sentiment = Negative). This task needs approaches that can disentangle the content from other linguistic attributes of the text.
Source: Improved Neural Text Attribute Transfer with Non-parallel Data
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
5 shown of 5 papers with code (7 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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17 Apr 2018 6 repositories listed Syntology ran 0 of 8 samples · 8 unverifiedWe consider the task of text attribute transfer: transforming a sentence to alter a specific attribute (e.
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31 Jan 2019 3 repositories listedText attribute transfer aims to automatically rewrite sentences such that they possess certain linguistic attributes, while simultaneously preserving their semantic content.
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1 Nov 2020 2 repositories listedText style transfer is an important task in natural language generation, which aims to control certain attributes in the generated text, such as politeness, emotion, humor, and many others.
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30 May 2019 2 repositories listed Syntology ran 3 of 8 samples · 5 unverifiedUnsupervised text attribute transfer automatically transforms a text to alter a specific attribute (e.
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26 Sep 2019 1 repository listedWe apply this framework to existing datasets and models and show that: (1) the pivot words are strong features for the classification of sentence attributes; (2) to change the attribute of a sentence, many datasets only…
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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