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.
Cite
CITATION STYLE
Wang, C., Li, B., & Xue, N. (2018). Transition-based Chinese AMR parsing. In NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference (Vol. 2, pp. 247–252). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/n18-2040
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