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://aclanthology.org/2024.konvens-main.18
DOI:
Bibkey:
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)
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PDF:
https://aclanthology.org/2024.konvens-main.18.pdf