Large Language Model Data Generation for Enhanced Intent Recognition in German Speech

Theresa Pekarek Rosin, Burak Can Kaplan, Stefan Wermter


Anthology ID:
2025.konvens-1.30
Volume:
Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers
Month:
September
Year:
2025
Address:
Hannover, Germany
Editors:
Christian Wartena, Ulrich Heid
Venue:
KONVENS
SIG:
Publisher:
HsH Applied Academics
Note:
Pages:
349–359
Language:
URL:
https://preview.aclanthology.org/gwc-25-ingestion/2025.konvens-1.30/
DOI:
Bibkey:
Cite (ACL):
Theresa Pekarek Rosin, Burak Can Kaplan, and Stefan Wermter. 2025. Large Language Model Data Generation for Enhanced Intent Recognition in German Speech. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers, pages 349–359, Hannover, Germany. HsH Applied Academics.
Cite (Informal):
Large Language Model Data Generation for Enhanced Intent Recognition in German Speech (Rosin et al., KONVENS 2025)
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PDF:
https://preview.aclanthology.org/gwc-25-ingestion/2025.konvens-1.30.pdf