HowNet based Chinese question classification

被引：0

作者：

Cai, Dongfeng ^{[1
]}

Sun, Jingguang ^{[1
]}

Zhang, Guiping ^{[1
]}

Lv, Dexin ^{[1
]}

Dong, Yanju ^{[1
]}

Song, Yan ^{[1
]}

Yu, Chao ^{[1
]}

机构：

[1] Shenyang Inst Aeronaut Engn, Nat Language Proc Lab, POB 118,52 North Huanghe St, Shenyang 11034, Liaoning, Peoples R China

来源：

PACLIC 20: PROCEEDINGS OF THE 20TH PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION | 2006年

关键词：

Question Answering System; question classification; HowNet; Maximum Entropy Model; classification feature;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Question classification is the first step that Question Answering System must dispose, the precision of question classification greatly affect the subsequent processes. In this paper, we present a new question classification method which uses HowNet as the semantic resource to extract features, and we use Maximum Entropy Model to implement the method. The results validate the effectiveness of this method: the classification precision of coarse classes and fine classes reaches 92.18% and 83.86% respectively. http://aclweb.org/anthology/Y/Y06/

引用

页码：366 / 369

页数：4

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