Text Style Transfer: A Review and Experiment Evaluation

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Generative Adversarial Networks (2021, neutral): “Text style may be perceived as a linguistic variation while preserving the conceptual content of the text [10], or more formally, we can describe text from the linguistic view.”
A Recipe for Arbitrary Text Style Transfer with Large Language Models (2021, background): “Hence, recent survey papers have identiﬁed a need for new methods that both reduce the training data requirements and expand the scope of styles supported (Jin et al., 2020; Hu et al., 2020).”