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基于概念粘合度(CC)的多主题分析 被引量:3

Multi-Subject Analyzing Based on (Conception Cohesion CC)
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摘要 针对多主题分割的需要 ,本文讨论了以知网的义原为基本单位 ,综合知识间的关系和语料统计的优点 。 Because of the requirement of multi subject analyzing in natural language processing,this paper discusses a solving method.It uses the advantages of knowledge relations and corpus statistics,and presents a multi subject analyzing method based on meta conception of HOW NET.
出处 《情报学报》 CSSCI 北大核心 2002年第1期2-6,共5页 Journal of the China Society for Scientific and Technical Information
基金 86 3计划资助项目 (86 3 30 6 ZD 10 2 3)
关键词 义原 概念粘合度 主题 主题段落 自动摘要系统 自然语言理解技术 多主题分析 单主题摘要 知网 meta conception,conception,cohesion,subject,subject paragraph.
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同被引文献17

  • 1韩客松.中文文本主题自动提取和标引若干关键技术研究[D].上海交通大学,2001.
  • 2K K Bun, M Ish Izuka. Top ic extraction from news archives using TF * RDF algrithm [ C ]. The Third International Conference on Web Information Systems Engineering, Singapore, 2002. 73 -82.
  • 3Hideki Kozima. Similarity between Words--Computed by Spreading Activation on an English Dictionary [ D ]. Doctoral Thesis. , December 13 ,1993.
  • 4K Lagus, S Kaski. Keyword selection method for characterizing text document maps [ C ]. In Proceedings of ICANN ' 99,1999,1 : 317 - 376.
  • 5Jaime Carbonell and Jade Goldstein. The use of MMR, diversity based re ranking for reordering documents and producing summarization[C]. In :Proceedings of SIGIN298 , Melbourne , Australia, August 1998.
  • 6L I H Yaman, I K Ish. Topic analysis using a finite mixture model[ J]. Information processing and management, 2003, 39 (3) : 521 -541.
  • 7D B Leake, A Magu Itman, T Reiehherzer. Topic Extraction and Extension to Support Concept Mapping [ C ]. Proceeding of FLA IRS22003, 2003. 325 - 329.
  • 8董振东 董强.[EB/OL].知网.http://www.keenage.com,.
  • 9董振东 董强.[EB/OL].知网.http://www.how-net.com,.
  • 10董振东 董强.知网[EB/0L].http://www.keenage,com/zhiwang/c—zhiwang.html,2003.

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