Faithfulness in Natural Language Generation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10492900" target="_blank" >RIV/00216208:11320/24:10492900 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2024.yrrsds-1.8/" target="_blank" >https://aclanthology.org/2024.yrrsds-1.8/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Faithfulness in Natural Language Generation
Original language description
In this position paper, I present my research interest in the faithfulness of natural language generation, i.e. the adherence to the data provided by a user or the dialog state. I motivate the task and present my progress and plans on the topic. I propose my position on the future of research dialog systems and share topics I would like to discuss during the roundtables.
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
20th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems
ISBN
979-8-89176-162-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
21-24
Publisher name
Association for Computational Linguistics
Place of publication
Kerrville, TX, USA
Event location
Kyoto, Japan
Event date
Sep 16, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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