面向问题分类的汉语框架网特征选择  

Question Classification-oriented Chinese FrameNet Feature Selection

作　　者：王文晶[1] 宋小香[2] 李茹[2] 

机构地区：[1]山西大学商务学院信息学院,山西太原030031 [2]山西大学计算机与信息技术学院,山西太原030006

出　　处：《计算机与现代化》2011年第8期9-12,16,共5页Computer and Modernization

基　　金：国家863计划基金资助项目(2006AA01Z142)

摘　　要：特征选择是影响问答系统中问题分类的重要因素。本文充分利用汉语框架网在语义表达方面的特点,提出一种面向问题分类的强类别信息词(SCIW)特征选择方法。首先选择五种汉语框架网特征作为候选特征,然后采用SCIW特征选择方法,根据每一类别的分类精度对单个特征的分类能力进行排序,并通过特征组合实验,选出具有最好分类效果的组合特征,达到特征约简的效果。Feature selection is the important factor which affects the question classification of question answering system.By fully using the characteristics of Chinese FrameNet in terms of semantic expression,this paper presents a new question classification-oriented approach in feature selection called strong class information words（SCIW）.Firstly,it selects five kinds of Chinese FrameNet features as candidate features,and then uses SCIW to select features.According to each category＇s classification precision of features,it sorts the classification ability of each single feature.Through the experiment of combinations of features,it selects the combination of features,which has better classification results.So the feature reduction can be reached.

关 键 词：汉语框架网 问题分类 特征选择 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]