| 基于潜在语义索引和句子聚类的中文自动文摘 |
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| 引用本文： | 陈戈,段建勇,陆汝占.基于潜在语义索引和句子聚类的中文自动文摘[J].计算机仿真,2008,25(7). |
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| 作者姓名： | 陈戈 段建勇 陆汝占 |
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| 作者单位： | 上海交通大学计算机科学与工程系,上海,200240 |
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| 基金项目： | 国家自然科学基金(60496326):863计划资助项目 |
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| 摘 要： | 自动文摘是自然语言处理领域的一项重要的研究课题.提出一种基于潜在语义索引和句子聚类的中文自动文摘方法.该方法的特色在于：使用潜在语义索引计算句子的相似度,并将层次聚类算法和K-中心聚类算法相结合进行句子聚类,这样提高了句子相似度计算和主题划分的准确性,有利于生成的文摘在全面覆盖文档主题的同时减少自身的冗余.实验结果验证了该文提出的方法的有效性,对比传统的基于聚类的自动文摘方法,该方法生成的文摘质量获得了显著的提高.
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| 关 键 词： | 自动文摘 潜在语义索引 句子聚类 |
Chinese Automatic Text Summarization Based on Latent Semantic Indexing and Sentence Clustering |
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| CHEN Ge,DUAN Jian-yong,LU Ru-zhan.Chinese Automatic Text Summarization Based on Latent Semantic Indexing and Sentence Clustering[J].Computer Simulation,2008,25(7). |
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| Authors: | CHEN Ge DUAN Jian-yong LU Ru-zhan |
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| Affiliation: | CHEN Ge,DUAN Jian-yong,LU Ru-zhan(Department of Computer Science , Engineering,SJTU,Shanghai 200240,China) |
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| Abstract: | Automatic text summarization is an important issue in Natural Language Processing.This paper has proposed a Chinese automatic text summarization method based on latent semantic indexing(LSI) and sentence clustering.The Specificity of this paper is that LSI is used to calculate sentence similarity and k-medoids clustering is combined with hierarchical clustering to identify topics in the document,which improves the accuracy of sentence similarity calculation and topic identification so that the created summa... |
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| Keywords: | Automatic text summarization Latent semantic indexing Sentence clustering |
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