[Submitted on 20 Jul 2024]
View a PDF of the paper titled Text Style Transfer: An Introductory Overview, by Sourabrata Mukherjee and Ondrej Duv{s}ek
Abstract:Text Style Transfer (TST) is a pivotal task in natural language generation to manipulate text style attributes while preserving style-independent content. The attributes targeted in TST can vary widely, including politeness, authorship, mitigation of offensive language, modification of feelings, and adjustment of text formality. TST has become a widely researched topic with substantial advancements in recent years. This paper provides an introductory overview of TST, addressing its challenges, existing approaches, datasets, evaluation measures, subtasks, and applications. This fundamental overview improves understanding of the background and fundamentals of text style transfer.
Submission history
From: Sourabrata Mukherjee [view email]
[v1]
Sat, 20 Jul 2024 09:54:55 UTC (6,928 KB)
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