An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry
Stephen Meisenbacher, Tim Schopf, Weixin Yan, Patrick Holl, Florian Matthes
- Anthology ID:
- 2024.konvens-main.18
- Volume:
- Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)
- Month:
- September
- Year:
- 2024
- Address:
- Vienna, Austria
- Editors:
- Pedro Henrique Luz de Araujo, Andreas Baumann, Dagmar Gromann, Brigitte Krenn, Benjamin Roth, Michael Wiegand
- Venue:
- KONVENS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 159–165
- Language:
- URL:
- https://preview.aclanthology.org/fix-sig-urls/2024.konvens-main.18/
- DOI:
- Cite (ACL):
- Stephen Meisenbacher, Tim Schopf, Weixin Yan, Patrick Holl, and Florian Matthes. 2024. An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry. In Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), pages 159–165, Vienna, Austria. Association for Computational Linguistics.
- Cite (Informal):
- An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry (Meisenbacher et al., KONVENS 2024)
- PDF:
- https://preview.aclanthology.org/fix-sig-urls/2024.konvens-main.18.pdf