TheDBOs@GermEval Shared Task 2025: Supporting BERT Model Training with LLM-Based Synthetic Tweets for Harmful Content Detection

Christoph Papadatos, Claudia Grote, Florian Ludwig


Anthology ID:
2025.konvens-2.30
Volume:
Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops
Month:
September
Year:
2025
Address:
Hannover, Germany
Editors:
Christian Wartena, Ulrich Heid
Venue:
KONVENS
SIG:
Publisher:
HsH Applied Academics
Note:
Pages:
366–374
Language:
URL:
https://preview.aclanthology.org/corrections-2025-09/2025.konvens-2.30/
DOI:
Bibkey:
Cite (ACL):
Christoph Papadatos, Claudia Grote, and Florian Ludwig. 2025. TheDBOs@GermEval Shared Task 2025: Supporting BERT Model Training with LLM-Based Synthetic Tweets for Harmful Content Detection. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops, pages 366–374, Hannover, Germany. HsH Applied Academics.
Cite (Informal):
TheDBOs@GermEval Shared Task 2025: Supporting BERT Model Training with LLM-Based Synthetic Tweets for Harmful Content Detection (Papadatos et al., KONVENS 2025)
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PDF:
https://preview.aclanthology.org/corrections-2025-09/2025.konvens-2.30.pdf