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2008

Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines

8 years 12 months ago
Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the extension of those methods while considerably improved the runtime and training time efficiency via L2SVMs. We also present several properties and constraints to enhance the parser completeness in runtime. We further integrate root-level and bottom-level syntactic information by using sequential taggers. The experimental results show the positive effect of the root-level and bottom-level
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where COLING
Authors Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
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