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  “逻辑主题”译为未确定词的双语例句
     The experiment showed that the accuracy of themethod based on hierarchy and k-means is higher 8% than the one based on hierarchy clustering.
     实验表明,基于层次聚类的k 均值方法得到的逻辑主题正确率比层次聚类方法得到的逻辑主题正确率平均约高8%。
     Multi-document set is treated as the sets of many logical topics,and is described from understood aspect,and the quality of multi-document summarization is improved.
     将多文档集合描述为若干逻辑主题的集合,是从理解的角度来描述多文档集合,在此基础上可以提高多文档文摘的质量。
  相似匹配句对
     The Ideological Theme and the Logical Structure of Taoist Philosophy
     道教哲学的思想主题逻辑建构
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     The Application of Classification-Subject Logical Combination in Information Retrieval
     分类——主题逻辑组合在文献检索中的应用
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     Logic of Information Currents
     信息流逻辑
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     The Logic of the Social Relation
     社会关系的逻辑
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     Subject Scheming
     主题策划
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>=The similar sentences in multi-document set are combined into one class,each class is one logical topic ofmulti-document set.Multi-document set is treated as the sets of many logical topics,and is described from understood aspect,and the quality of multi-document summarization is improved.In this paper,the threshold for logical topic is determined bytraining data,then the number of logical topic in multi-document is identified by hierarchy clustering,these classes modifiedby k-means,so that the accuracy of...

>=The similar sentences in multi-document set are combined into one class,each class is one logical topic ofmulti-document set.Multi-document set is treated as the sets of many logical topics,and is described from understood aspect,and the quality of multi-document summarization is improved.In this paper,the threshold for logical topic is determined bytraining data,then the number of logical topic in multi-document is identified by hierarchy clustering,these classes modifiedby k-means,so that the accuracy of dividing logical topic is improved.The experiment showed that the accuracy of themethod based on hierarchy and k-means is higher 8% than the one based on hierarchy clustering.

把多文档集合中具有相同或相似的句子通过聚类的方法归并成一类,每类即为多文档集合的一个逻辑主题。将多文档集合描述为若干逻辑主题的集合,是从理解的角度来描述多文档集合,在此基础上可以提高多文档文摘的质量。本文首先根据标准语料确定划分逻辑主题的阈值,通过层次聚类方法确定逻辑主题的个数,然后利用k 均值方法对各个类别进行迭代调整,从而提高划分逻辑主题的准确率。实验表明,基于层次聚类的k 均值方法得到的逻辑主题正确率比层次聚类方法得到的逻辑主题正确率平均约高8%。

 
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