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基于随机冲浪模型的XML文摘句子重排
引用本文:刘德喜,吴世汉,吴通. 基于随机冲浪模型的XML文摘句子重排[J]. 计算机研究与发展, 2009, 46(Z2)
作者姓名:刘德喜  吴世汉  吴通
作者单位:1. 江西财经大学信息管理学院,南昌,330013
2. 江西省高校数据与知识工程重点研究室,南昌,330013
基金项目:国家自然科学基金项目,国家社会科学基金项目,江西省教育厅科技重点基金项目,江西省教育厅科学技术研究重点基金项目 
摘    要:随机冲浪模型;顺序关系;主题相关性;句子重排

关 键 词:XML 文摘  随机冲浪模型  顺序关系  主题相关性  句子重排

A Sentence Ordering Strategy Based on Random Surfer Model in XML Summarization
Liu Dexi,Wu Shihan,Wu Tong. A Sentence Ordering Strategy Based on Random Surfer Model in XML Summarization[J]. Journal of Computer Research and Development, 2009, 46(Z2)
Authors:Liu Dexi  Wu Shihan  Wu Tong
Abstract:In extractive summarization,the extracted sentences must be reordered if we want to generate a logical,coherent and readable summary.This problem is special in multi-XML summarization because more factors should be considered when reordering sentences form different XML elements or XML files.In this paper,a sentence ordering strategy based on random surfer model in XML summarization is proposed.The order relations(chronological,positional,layer)and topic relations between tWO sentences are combined through linear combination to build a direction graph,where the vertices are sentences and edges are weight of the two relationships'combination.The scores of the sentences are computed via the PageRank algorithm and sentences are reordered according to their scores.Experimental results show the proposed algorithm can significantly improve the logicality,coherence and readability of XML summary.
Keywords:XML summarization  random surfer model  order relations  topic relations  sentence ordering
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