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Text Attribute Transfer

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

Papers

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Showing 1–7 of 7 papers

TitleStatusHype
A Causal Lens for Controllable Text Generation—0
Deep Learning for Text Style Transfer: A SurveyCode2
Rethinking Text Attribute Transfer: A Lexical AnalysisCode0
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent RepresentationCode0
IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and TranslationCode1
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style TransferCode0
Improved Neural Text Attribute Transfer with Non-parallel Data—0
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