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:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2022.lrec-1.145.pdf