【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%。更多还原

【Abstract】 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 precision achieves 73.6%.更多还原