计算机工程与应用2009，Vol.45Issue(31)：111-114,137,5.DOI:10.3778/j.issn.1002-8331.2009.31.033
基于汉语框架网的中文问题分类
Chinese question classification based on Chinese FrameNet
摘要
Abstract
Question classification is very important for question answering,and its accuracy affects the performance of the question answering system.This paper introduces a method of Chinese question classification based on Chinese FrameNet(CFN).In this method,a series of features are firstly constructed to express each question s semantic information,and then Maximum Entropy Model is used to implement question classifier.Compared to the traditional methods,semantic information of Chinese FrameNet can improve the performance of question classification significantly.The experiment result shows that this method is effective and the classification accuracy of coarse classes and fine classes achieves 91.38% and 83.20% respectively.关键词
字:汉语框架网/问题分类/最大熵模型Key words
Chinese FrameNet/question classification/maximum entropy model分类
计算机与自动化引用本文复制引用
李茹,宋小香,王文晶..基于汉语框架网的中文问题分类[J].计算机工程与应用,2009,45(31):111-114,137,5.基金项目
国家高技术研究发展计划(863)(the National High-Tech Research and Development Plan of China under Grant No.2006AA01Z142) （863）
国家社会科学基金青年项目(No.07CYY022) （No.07CYY022）
山西省高等学校拔尖人才基金项目 （）
山西省实验室开放基金(No.2009011059-4) （No.2009011059-4）
太原市科技明星项目 （）
山西省大学生创新性实验计划项目. （）
