nymera@GermEval Shared Task 2025: One Ensemble, Many Harms: A Unified Transformer Approach to Harmful Content Detection in German Social Media - ACL Anthology

This is an internal, incomplete preview of a proposed change to the ACL Anthology. For efficiency reasons, we don't generate MODS or Endnote formats, and the preview may be incomplete in other ways, or contain mistakes. Do not treat this content as an official publication.

nymera@GermEval Shared Task 2025: One Ensemble, Many Harms: A Unified Transformer Approach to Harmful Content Detection in German Social Media

Anthology ID:: 2025.konvens-2.29
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:: 357–365
Language:
URL:: https://preview.aclanthology.org/info-author-pages/2025.konvens-2.29/
DOI:
Bibkey:
Cite (ACL):: Hanna Köpcke. 2025. nymera@GermEval Shared Task 2025: One Ensemble, Many Harms: A Unified Transformer Approach to Harmful Content Detection in German Social Media. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops, pages 357–365, Hannover, Germany. HsH Applied Academics.
Cite (Informal):: nymera@GermEval Shared Task 2025: One Ensemble, Many Harms: A Unified Transformer Approach to Harmful Content Detection in German Social Media (Köpcke, KONVENS 2025)
Copy Citation:
PDF:: https://preview.aclanthology.org/info-author-pages/2025.konvens-2.29.pdf

PDF Cite Search Fix data