- 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/info-author-pages/2025.konvens-1.30/
- DOI:
- 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 (Pekarek Rosin et al., KONVENS 2025)
- PDF:
- https://preview.aclanthology.org/info-author-pages/2025.konvens-1.30.pdf