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
Export citation
@inproceedings{klenner-gohring-2022-animacy, title = "{A}nimacy Denoting {G}erman Nouns: Annotation and Classification", author = {Klenner, Manfred and G{\"o}hring, Anne}, editor = "Calzolari, Nicoletta and B{\'e}chet, Fr{\'e}d{\'e}ric and Blache, Philippe and Choukri, Khalid and Cieri, Christopher and Declerck, Thierry and Goggi, Sara and Isahara, Hitoshi and Maegaard, Bente and Mariani, Joseph and Mazo, H{\'e}l{\`e}ne and Odijk, Jan and Piperidis, Stelios", booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference", month = jun, year = "2022", address = "Marseille, France", publisher = "European Language Resources Association", url = "https://aclanthology.org/2022.lrec-1.145", pages = "1360--1364", 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.", }
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%0 Conference Proceedings %T Animacy Denoting German Nouns: Annotation and Classification %A Klenner, Manfred %A Göhring, Anne %Y Calzolari, Nicoletta %Y Béchet, Frédéric %Y Blache, Philippe %Y Choukri, Khalid %Y Cieri, Christopher %Y Declerck, Thierry %Y Goggi, Sara %Y Isahara, Hitoshi %Y Maegaard, Bente %Y Mariani, Joseph %Y Mazo, Hélène %Y Odijk, Jan %Y Piperidis, Stelios %S Proceedings of the Thirteenth Language Resources and Evaluation Conference %D 2022 %8 June %I European Language Resources Association %C Marseille, France %F klenner-gohring-2022-animacy %X 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. %U https://aclanthology.org/2022.lrec-1.145 %P 1360-1364
Markdown (Informal)
[Animacy Denoting German Nouns: Annotation and Classification](https://aclanthology.org/2022.lrec-1.145) (Klenner & Göhring, LREC 2022)
- Animacy Denoting German Nouns: Annotation and Classification (Klenner & Göhring, LREC 2022)
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.