Extract summarization using Concept-Obtained and Hybrid Parallel Genetic Algorithm

M. Wang, Xinlai Tang
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引用次数: 5

Abstract

This paper proposes a special Chinese automatic summarization method based on Concept-Obtained and Hybrid Parallel Genetic Algorithm. The idea of our approach is to obtain concepts of words using HowNet as tool, and use concepts as feature, not words. We construct conceptual vector space model and use Hybrid Parallel Genetic Algorithm to form summary of documents. The automatic evaluation of document's summaries with n-gram score shows the system's effectiveness and feasibility.
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基于概念获取和混合并行遗传算法的提取摘要
提出了一种基于概念获取和混合并行遗传算法的特殊中文自动摘要方法。我们的方法是使用HowNet作为工具来获得单词的概念,并使用概念作为特征,而不是单词。我们构建概念向量空间模型,并使用混合并行遗传算法形成文档摘要。用n-gram评分对文档摘要进行自动评价,表明了该系统的有效性和可行性。
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