面向高考阅读理解鉴赏题语言风格判别方法

摘要

语言风格是高考阅读理解中的重要考察内容,然而不同考察方式所需的分类层次不尽相同,该文将语言风格鉴赏转化为层次分类问题.在类别标签指导下,利用图分割算法,获取与特定类别相对应的原始簇.基于原始簇,利用层次聚类获取语言风格类别层次结构,之后结合层次结构训练SVM层次分类器.在解答语言风格鉴赏题过程中,依据阅读理解题干确定所需分类层次,利用SVM层次分类器完成对阅读材料语言风格判别,最后结合知识库生成语言风格鉴赏题答案.实验结果表明,基于层次结构的语言风格判别方法,可以为高考鉴赏类考题的解答提供技术支撑.%Language style plays a significant role in reading comprehension and appreciation in the college entrance examination.However,the hierarchy of classification varies with different exam points.The task of language style discrimination and appreciation is regarded as a hierarchical classification problem.Guided by class labels,original clusters corresponding to the specific categories are acquired by using graph segmentation algorithm.Then a hierar-chical clustering is applied to generate a hierarchy of language style,on which a hierarchical classifier based on SVM is trained.During answering appreciation question,the hierarchy of classification,which is determined by the ques-tion stem,is used to discriminate the language style of reading materials.Finally,the answers are generated based on the combination of language style and knowledge base.The experiment results show the effectiveness of our pro-posed method which can provide technical support for reading comprehension and appreciation.