Abstract
This paper presents the first AMR parser built on the Chinese AMR bank. By applying a transition-based AMR parsing framework to Chinese, we first investigate how well the transitions first designed for English AMR parsing generalize to Chinese and provide a comparative analysis between the transitions for English and Chinese. We then perform a detailed error analysis to identify the major challenges in Chinese AMR parsing that we hope will inform future research in this area.- Anthology ID:
- N18-2040
- Volume:
- Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Marilyn Walker, Heng Ji, Amanda Stent
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 247–252
- Language:
- URL:
- https://aclanthology.org/N18-2040
- DOI:
- 10.18653/v1/N18-2040
- Cite (ACL):
- Chuan Wang, Bin Li, and Nianwen Xue. 2018. Transition-Based Chinese AMR Parsing. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pages 247–252, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- Transition-Based Chinese AMR Parsing (Wang et al., NAACL 2018)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/N18-2040.pdf
- Data
- AMR Bank