Syntactic parsing with hierarchical modeling

被引：0

作者：

Li, Junhui ^{[1
]}

Zhou, Guodong ^{[1
]}

Zhu, Qiaoming ^{[1
]}

Qian, Peide ^{[1
]}

机构：

[1] Soochow Univ, Sch Comp Sci & Technol, Jiangsu Provincial Key Lab Comp Informat Proc Tec, Suzhou 215006, Peoples R China

来源：

INFORMATION RETRIEVAL TECHNOLOGY | 2008年 / 4993卷

关键词：

syntactic parsing; hierarchical modeling; POSTagging;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：561 / 566

页数：6

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