Towards Non-projective High-Order Dependency Parser

Wenjing Fang, Kenny Zhu, Yizhong Wang, Jia Tan


Abstract
This paper presents a novel high-order dependency parsing framework that targets non-projective treebanks. It imitates how a human parses sentences in an intuitive way. At every step of the parse, it determines which word is the easiest to process among all the remaining words, identifies its head word and then folds it under the head word. Further, this work is flexible enough to be augmented with other parsing techniques.
Anthology ID:
C16-2052
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2016
Address:
Osaka, Japan
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
248–252
Language:
URL:
https://aclanthology.org/C16-2052
DOI:
Bibkey:
Cite (ACL):
Wenjing Fang, Kenny Zhu, Yizhong Wang, and Jia Tan. 2016. Towards Non-projective High-Order Dependency Parser. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 248–252, Osaka, Japan. The COLING 2016 Organizing Committee.
Cite (Informal):
Towards Non-projective High-Order Dependency Parser (Fang et al., COLING 2016)
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PDF:
https://aclanthology.org/C16-2052.pdf