Syntactic parsing with hierarchical modeling

Authors:
Junhui Li;Guodong Zhou;Qiaoming Zhu;Peide Qian
Affiliations:
Jiangsu Provincial Key Lab of Computer Information Processing Technology, School of Computer Science & Technology, Soochow University, China;Jiangsu Provincial Key Lab of Computer Information Processing Technology, School of Computer Science & Technology, Soochow University, China;Jiangsu Provincial Key Lab of Computer Information Processing Technology, School of Computer Science & Technology, Soochow University, China;Jiangsu Provincial Key Lab of Computer Information Processing Technology, School of Computer Science & Technology, Soochow University, China
Venue:
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Year:
2008

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Abstract

This paper proposes a hierarchical model to parse both English and Chinese sentences. This is done by iteratively constructing simple constituents first, so that complex ones could be detected reliably with richer contextual information in the following processes. Evaluation on the Penn WSJ Treebank and the Penn Chinese Treebank using maximum entropy models shows that our method can achieve a good performance with more flexibility for future improvement.