Research on Topic Relevancy of Sentences Based on HowNet Semantic Computation

Jinzhong Xu, Jie Liu, Xiaoming Liu
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引用次数: 5

Abstract

In Automatic Question Answering System, topic identification is usually based on relevancy computation of sentences. This paper introduces an approach to compute topic relevancy. Using the semantic computation in HowNet, the relevancy of sentences can be calculated. The topic relevancy of sentences can be calculated through the computation of relevancy between words of sentence and subject words. Experimental results show the effectiveness of the method.
基于HowNet语义计算的句子主题相关性研究
在自动问答系统中,主题识别通常是基于句子的相关性计算。本文介绍了一种计算主题相关性的方法。利用HowNet的语义计算,可以计算出句子的相关度。通过计算句子与主题词之间的关联度,可以计算出句子的主题关联度。实验结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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