ZEFYS2025: A German Historical Newspaper Dataset for Named Entity Recognition and Entity Linking
Sophie Schneider, Ulrike Förstel, Kai Labusch, Jörg Lehmann, Clemens Neudecker
- Anthology ID:
- 2025.konvens-1.5
- Volume:
- Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers
- Month:
- September
- Year:
- 2025
- Address:
- Hannover, Germany
- Editors:
- Christian Wartena, Ulrich Heid
- Venue:
- KONVENS
- SIG:
- Publisher:
- HsH Applied Academics
- Note:
- Pages:
- 48–58
- Language:
- URL:
- https://preview.aclanthology.org/watermark/2025.konvens-1.5/
- DOI:
- Cite (ACL):
- Sophie Schneider, Ulrike Förstel, Kai Labusch, Jörg Lehmann, and Clemens Neudecker. 2025. ZEFYS2025: A German Historical Newspaper Dataset for Named Entity Recognition and Entity Linking. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers, pages 48–58, Hannover, Germany. HsH Applied Academics.
- Cite (Informal):
- ZEFYS2025: A German Historical Newspaper Dataset for Named Entity Recognition and Entity Linking (Schneider et al., KONVENS 2025)
- PDF:
- https://preview.aclanthology.org/watermark/2025.konvens-1.5.pdf