@inproceedings{wang-etal-2018-transition,
title = "Transition-Based {C}hinese {AMR} Parsing",
author = "Wang, Chuan and
Li, Bin and
Xue, Nianwen",
editor = "Walker, Marilyn and
Ji, Heng and
Stent, Amanda",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-2040",
doi = "10.18653/v1/N18-2040",
pages = "247--252",
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.",
}
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%0 Conference Proceedings
%T Transition-Based Chinese AMR Parsing
%A Wang, Chuan
%A Li, Bin
%A Xue, Nianwen
%Y Walker, Marilyn
%Y Ji, Heng
%Y Stent, Amanda
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F wang-etal-2018-transition
%X 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.
%R 10.18653/v1/N18-2040
%U https://aclanthology.org/N18-2040
%U https://doi.org/10.18653/v1/N18-2040
%P 247-252
Markdown (Informal)
[Transition-Based Chinese AMR Parsing](https://aclanthology.org/N18-2040) (Wang et al., NAACL 2018)
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.