Abstract
We present the first annotated resource for the aspectual classification of German verb tokens in their clausal context. We use aspectual features compatible with the plurality of aspectual classifications in previous work and treat aspectual ambiguity systematically. We evaluate our corpus by using it to train supervised classifiers to automatically assign aspectual categories to verbs in context, permitting favourable comparisons to previous work.- Anthology ID:
- P19-1323
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Anna Korhonen, David Traum, Lluís Màrquez
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3335–3341
- Language:
- URL:
- https://aclanthology.org/P19-1323
- DOI:
- 10.18653/v1/P19-1323
- Cite (ACL):
- Markus Egg, Helena Prepens, and Will Roberts. 2019. Annotation and Automatic Classification of Aspectual Categories. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 3335–3341, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Annotation and Automatic Classification of Aspectual Categories (Egg et al., ACL 2019)
- PDF:
- https://preview.aclanthology.org/naacl-24-ws-corrections/P19-1323.pdf