@inproceedings{mukherjee-2023-stylized,
title = "Stylized Dialog Response Generation",
author = "Mukherjee, Sourabrata",
editor = "Hudecek, Vojtech and
Schmidtova, Patricia and
Dinkar, Tanvi and
Chiyah-Garcia, Javier and
Sieinska, Weronika",
booktitle = "Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems",
month = sep,
year = "2023",
address = "Prague, Czechia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.yrrsds-1.16",
pages = "44--46",
abstract = "My primary research focus lies in the domain of Text Style Transfer (TST), a fascinating area within Natural Language Processing (NLP). TST involves the transfor- mation of text into a desired style while approximately preserving its underlying content. In my research, I am also driven by the goal of incorporating TST techniques into NLP systems, particularly within the realm of dia- logue systems. I am intrigued by the concept of Stylized Dialog Response Generation, which aims to enhance the versatility and adaptability of dialog systems in generat- ing text responses with specific style attributes. By ad- vancing our understanding of TST and its integration into dialogue systems, my research seeks to contribute to the broader field of human-computer interaction. Through the development of robust and versatile dialogue systems with enhanced style transfer capabilities, we can facili- tate more engaging and personalized conversational experiences.",
}
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%0 Conference Proceedings
%T Stylized Dialog Response Generation
%A Mukherjee, Sourabrata
%Y Hudecek, Vojtech
%Y Schmidtova, Patricia
%Y Dinkar, Tanvi
%Y Chiyah-Garcia, Javier
%Y Sieinska, Weronika
%S Proceedings of the 19th Annual Meeting of the Young Reseachers’ Roundtable on Spoken Dialogue Systems
%D 2023
%8 September
%I Association for Computational Linguistics
%C Prague, Czechia
%F mukherjee-2023-stylized
%X My primary research focus lies in the domain of Text Style Transfer (TST), a fascinating area within Natural Language Processing (NLP). TST involves the transfor- mation of text into a desired style while approximately preserving its underlying content. In my research, I am also driven by the goal of incorporating TST techniques into NLP systems, particularly within the realm of dia- logue systems. I am intrigued by the concept of Stylized Dialog Response Generation, which aims to enhance the versatility and adaptability of dialog systems in generat- ing text responses with specific style attributes. By ad- vancing our understanding of TST and its integration into dialogue systems, my research seeks to contribute to the broader field of human-computer interaction. Through the development of robust and versatile dialogue systems with enhanced style transfer capabilities, we can facili- tate more engaging and personalized conversational experiences.
%U https://aclanthology.org/2023.yrrsds-1.16
%P 44-46
Markdown (Informal)
[Stylized Dialog Response Generation](https://aclanthology.org/2023.yrrsds-1.16) (Mukherjee, YRRSDS-WS 2023)
ACL
- Sourabrata Mukherjee. 2023. Stylized Dialog Response Generation. In Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems, pages 44–46, Prague, Czechia. Association for Computational Linguistics.