A Survey of Text Style Transfer: Applications and Ethical Implications
Sourabrata Mukherjee, Mateusz Lango, Zdenek Kasner, Ondrej Du\v{s}ek

TL;DR
This survey reviews the development, applications, and ethical considerations of text style transfer (TST), highlighting its transition from research to practical deployment and emphasizing the importance of ethical awareness.
Contribution
It provides a comprehensive overview of TST applications, combining traditional and deep learning approaches, and discusses challenges, future directions, and ethical issues.
Findings
TST technologies are approaching deployment readiness.
Applications span politeness, formality, sentiment control.
Ethical considerations are increasingly important.
Abstract
Text style transfer (TST) is an important task in controllable text generation, which aims to control selected attributes of language use, such as politeness, formality, or sentiment, without altering the style-independent content of the text. The field has received considerable research attention in recent years and has already been covered in several reviews, but the focus has mostly been on the development of new algorithms and learning from different types of data (supervised, unsupervised, out-of-domain, etc.) and not so much on the application side. However, TST-related technologies are gradually reaching a production- and deployment-ready level, and therefore, the inclusion of the application perspective in TST research becomes crucial. Similarly, the often overlooked ethical considerations of TST technology have become a pressing issue. This paper presents a comprehensive review…
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Taxonomy
MethodsSoftmax · Attention Is All You Need · Focus
