Abstract
The Japanese CCGBank serves as training and evaluation data for developing Japanese CCG parsers. However, since it is automatically generated from the Kyoto Corpus, a dependency treebank, its linguistic validity still needs to be sufficiently verified. In this paper, we focus on the analysis of passive/causative constructions in the Japanese CCGBank and show that, together with the compositional semantics of ccg2lambda, a semantic parsing system, it yields empirically wrong predictions for the nested construction of passives and causatives.- Anthology ID:
- 2023.tlt-1.4
- Volume:
- Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023)
- Month:
- March
- Year:
- 2023
- Address:
- Washington, D.C.
- Editors:
- Daniel Dakota, Kilian Evang, Sandra Kübler, Lori Levin
- Venues:
- TLT | SyntaxFest
- SIG:
- SIGPARSE
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 32–36
- Language:
- URL:
- https://aclanthology.org/2023.tlt-1.4
- DOI:
- Cite (ACL):
- Daisuke Bekki and Hitomi Yanaka. 2023. Is Japanese CCGBank empirically correct? A case study of passive and causative constructions. In Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023), pages 32–36, Washington, D.C.. Association for Computational Linguistics.
- Cite (Informal):
- Is Japanese CCGBank empirically correct? A case study of passive and causative constructions (Bekki & Yanaka, TLT-SyntaxFest 2023)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2023.tlt-1.4.pdf