摘要
面向问答社区的问答系统CQA(Community Question Answer)是近年来研究的热点,针对系统中问句分类的复杂性,提出一个粗粒度的分类体系及多标记多分类的问句分类算法——MLMC。基于SVM分类模型实现一个完整的分类系统,总体分类精度达到73.6%。
The CQA （community question-answering） oriented question-answering system is the research focus in recent years. To solve the complexity of questions classification in system, we present a coarse-grained classification category and a multi-label multi-class question classification algorithm MLMC. Based on SVM classification model we implement a full classification system, its overall classification pre- cision achieves 73.6%.
出处
《计算机应用与软件》
CSCD
北大核心
2013年第1期219-222,286,共5页
Computer Applications and Software
基金
深圳信息职业技术学院科工类项目研究基金项目(YB201016)
