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Similarity Computing Between Simple Questions Based on HowNet and Syntactic Analysis

机译:基于HowNet和句法分析的简单问题之间的相似度计算

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摘要

Similarity computing of question is one of the important basis issues in the field of natural language processing, which was widely used in the Qu00026;A system, and other areas such as question classification. In this paper, a method is presented that the keywords are extracted and then the similarity of keywords is calculated, and the similarity of sentences is the weighted average of similarity between keywords. A related experiment about simple questions has been done with the improved method based on the HowNet and syntactic analysis so that they can be applied to calculate the similarity of simple questions, and the accuracy rate reaches 83%. The experimental result shows that the method based on the HowNet and syntactic analysis is feasible to calculate the similarity between simple questions.
机译:问题的相似度计算是自然语言处理领域的重要基础问题之一,已在Qu00026; A系统以及问题分类等其他领域广泛使用。本文提出了一种提取关键词,然后计算关键词相似度的方法,句子相似度是关键词相似度的加权平均值。利用基于知网的改进方法和句法分析,对简单问题进行了相关实验,可用于计算简单问题的相似度,准确率达到83%。实验结果表明,基于知网和句法分析的方法对计算简单问题之间的相似度是可行的。

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