Researching in Shallow Parsing based on Function Invariance of Maximum Likelihood Estimation

被引：0

作者：

Zhang, Shuang ^{[1
]}

Zhang, Shixiong ^{[1
]}

机构：

[1] Sch Informat Sci & Technol, Harbin, Heilongjiang Pr, Peoples R China

来源：

MECHANICAL ENGINEERING, MATERIALS SCIENCE AND CIVIL ENGINEERING | 2013年 / 274卷

关键词：

shallow parsing; function invariance; chunks; unsupervised partial parsing (UPP); maximum likelihood estimation;

D O I：

10.4028/www.scientific.net/AMM.274.359

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Shallow parsing is a new strategy of language processing in the domain of natural language processing recently years. It is not focus on the obtaining of the full parsing tree but requiring of the recognition of some simple composition of some structure. It separated parsing into two subtasks: one is the recognition and analysis of chunks the other is the analysis of relationships among chunks. In this essay, some applied technology of shallow parsing is introduced and a new method of it is experimented.

引用

页码：359 / 362

页数：4

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