Measuring the similarity of short texts by word similarity and tree kernels

Yun Tian, Haisheng Li, Qiang Cai, Shouxiang Zhao
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引用次数: 12

Abstract

A novel modeling method is presented in this paper to measure the similarity between short texts. We thought that the complete expression of a sentence or a short text, not only depends on the words, but also relies on the syntactic structure, thus the method takes word similarity feature and syntactic feature into account. The proposed method can be used in a variety of applications involving automatic document summarization, text knowledge representation and discovery. Experiment on two different data sets shows that the proposed method performs better than the measure proposed by Li et al.
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基于词相似度和树核的短文本相似度度量
本文提出了一种新的短文本相似度度量建模方法。我们认为一个句子或短文本的完整表达不仅依赖于单词,还依赖于句法结构,因此该方法考虑了单词相似特征和句法特征。该方法可用于自动文档摘要、文本知识表示和发现等多种应用。在两个不同数据集上的实验表明,该方法的性能优于Li等人提出的方法。
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