计算机应用与软件2011，Vol.28Issue(8)：254-256,3.
基于混合统计模型的中文基本名词短语识别
A MLXED STATISTICAL MODEL-BASED METHOD FOR IDENTIFYING CHINESE BASE NOUN PHRASE
摘要
Abstract
This paper proposes a mixed statistical model based method for identifying Chinese base noun phrase (NP). After the brief overview of the current study, we confirmed the mission of Chinese base NP identification, and then adopted mixed statistical model, which consists a base tier of conversion-based tagging and conditional random field model and a senior tier of SVM model, to conduct the identification of Chinese base NP. Experiment on ACE 2005 Chinese corpus shows that the F-measure of the mixed model achieves 88.67% with the improvement of 1.37%. It is capable to ameliorate the identification performance on Chinese base NP.关键词
基本名词短语/支持向量机模型/特征模板Key words
Base noun `phrase Support vector machine (SVM) Feature template分类
信息技术与安全科学引用本文复制引用
谭魏璇,孔芳,倪吉,周国栋..基于混合统计模型的中文基本名词短语识别[J].计算机应用与软件,2011,28(8):254-256,3.
