Animacy Denoting German Nouns: Annotation and Classification

Manfred Klenner, Anne Göhring


Abstract
In this paper, we introduce a gold standard for animacy detection comprising almost 14,500 German nouns that might be used to denote either animate entities or non-animate entities. We present inter-annotator agreement of our crowd-sourced seed annotations (9,000 nouns) and discuss the results of machine learning models applied to this data.
Anthology ID:
2022.lrec-1.145
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
1360–1364
Language:
URL:
https://aclanthology.org/2022.lrec-1.145
DOI:
Bibkey:
Cite (ACL):
Manfred Klenner and Anne Göhring. 2022. Animacy Denoting German Nouns: Annotation and Classification. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 1360–1364, Marseille, France. European Language Resources Association.
Cite (Informal):
Animacy Denoting German Nouns: Annotation and Classification (Klenner & Göhring, LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.145.pdf