Transition-Based Chinese AMR Parsing

Chuan Wang, Bin Li, Nianwen Xue


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
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
247–252
Language:
URL:
https://www.aclweb.org/anthology/N18-2040
DOI:
10.18653/v1/N18-2040
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PDF:
http://aclanthology.lst.uni-saarland.de/N18-2040.pdf