Scouting out the Border: Leveraging Explainable AI to Generate Synthetic Training Data for SDG Classification
Norman Süsstrunk, Albert Weichselbraun, Andreas Murk, Roger Waldvogel, André Glatzl
- Anthology ID:
- 2024.swisstext-1.48
- Volume:
- Proceedings of the 9th edition of the Swiss Text Analytics Conference
- Month:
- June
- Year:
- 2024
- Address:
- Chur, Switzerland
- Editors:
- Corsin Capol, Mark Cieliebak, Albert Weichselbraun, Claudiu Musat, Elisabeth Maier, Lucas Zimmermann
- Venue:
- SwissText
- SIG:
- SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 214–219
- Language:
- URL:
- https://preview.aclanthology.org/old-master/2024.swisstext-1.48/
- DOI:
- Cite (ACL):
- Norman Süsstrunk, Albert Weichselbraun, Andreas Murk, Roger Waldvogel, and André Glatzl. 2024. Scouting out the Border: Leveraging Explainable AI to Generate Synthetic Training Data for SDG Classification. In Proceedings of the 9th edition of the Swiss Text Analytics Conference, pages 214–219, Chur, Switzerland. Association for Computational Linguistics.
- Cite (Informal):
- Scouting out the Border: Leveraging Explainable AI to Generate Synthetic Training Data for SDG Classification (Süsstrunk et al., SwissText 2024)
- PDF:
- https://preview.aclanthology.org/old-master/2024.swisstext-1.48.pdf