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2021 | OriginalPaper | Chapter

Towards User-Centric Text-to-Text Generation: A Survey

Authors : Diyi Yang, Lucie Flek

Published in: Text, Speech, and Dialogue

Publisher: Springer International Publishing

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Abstract

This chapter delves into the emerging field of user-centric text-to-text generation, emphasizing the need for NLG systems to adapt to individual users' preferences and characteristics. It discusses the various dimensions of personalization, from factual knowledge to stylistic adjustments, and provides a comprehensive overview of recent research directions. The chapter also explores the challenges and opportunities in collecting and evaluating user-centric data, as well as the ethical and privacy considerations associated with personalized NLG systems. By categorizing user information and presenting representative tasks and evaluation approaches, this chapter offers valuable insights for future research in user-centric NLG.
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Metadata
Title
Towards User-Centric Text-to-Text Generation: A Survey
Authors
Diyi Yang
Lucie Flek
Copyright Year
2021
Book
Text, Speech, and Dialogue

Print ISBN: 978-3-030-83526-2

Electronic ISBN: 978-3-030-83527-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-83527-9_1

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