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:
Capol Corsin, Cieliebak Mark, Weichselbraun Albert, Musat Claudiu, Maier Elisabeth, Zimmermann Lucas
Venue:
SwissText
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
214–219
Language:
URL:
https://aclanthology.org/2024.swisstext-1.48/
DOI:
Bibkey:
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)
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PDF:
https://aclanthology.org/2024.swisstext-1.48.pdf