Sourabrata Mukherjee: Position Paper on Stylized Dialog Response Generation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10492592" target="_blank" >RIV/00216208:11320/23:10492592 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Sourabrata Mukherjee: Position Paper on Stylized Dialog Response Generation
Original language description
My primary research focus lies in the domain of Text Style Transfer (TST), a fascinating area within Natural Language Processing (NLP). TST involves the transformation 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 dialogue systems. I am intrigued by the concept of Stylized Dialog Response Generation, which aims to enhance the versatility and adaptability of dialog systems in generating text responses with specific style attributes. By advancing 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 facilitate more engaging and personalized conversational experiences.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
19th Workshop on Spoken Dialogue Systems for PhDs, PostDocs & New Researchers
ISBN
978-1-952148-25-5
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
44-46
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Praha, Czechia
Event date
Sep 11, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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