An Efficient Workflow Towards Improving Classifiers in Low-ResourceSettings with Synthetic Data
Adrian M.P. Bra ̧soveanu, Albert Weichselbraun, Lyndon J.B. Nixon, Arno Scharl
- Anthology ID:
- 2024.swisstext-1.46
- Volume:
- Proceedings of the 9th edition of the Swiss Text Analytics Conference
- Month:
- June
- Year:
- 2024
- Address:
- Chur, Switzerland
- Editors:
- Capol Corsin, Cieliebak Mark, Weichselbraun Albert, Musat Claudiu, Maier Elisabeth, Zimmermann Lucas
- Venue:
- SwissText
- SIG:
- SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 198–202
- Language:
- URL:
- https://preview.aclanthology.org/icon-24-ingestion/2024.swisstext-1.46/
- DOI:
- Cite (ACL):
- Adrian M.P. Bra ̧soveanu, Albert Weichselbraun, Lyndon J.B. Nixon, and Arno Scharl. 2024. An Efficient Workflow Towards Improving Classifiers in Low-ResourceSettings with Synthetic Data. In Proceedings of the 9th edition of the Swiss Text Analytics Conference, pages 198–202, Chur, Switzerland. Association for Computational Linguistics.
- Cite (Informal):
- An Efficient Workflow Towards Improving Classifiers in Low-ResourceSettings with Synthetic Data (̧soveanu et al., SwissText 2024)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/2024.swisstext-1.46.pdf