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  • 标题:An Analytical Framework for Multi-Document Summarization
  • 本地全文:下载
  • 作者:J Jayabharathy ; S Kanmani ; Buvana
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:3
  • 出版社:IJCSI Press
  • 摘要:Growth of information in the web leads to drastic increase in field of information retrieval. Information retrieval is the process of searching and extracting the required information from the web. The main purpose of the automated information retrieval system is to reduce the overload of document retrieval. Today�s retrieval system presents vast information, which suffers from redundancy and irrelevance. There arises a need to provide high quality summary in order to allow the user to quickly locate the desired and concise information ase number of documents available on user�s desktops and internet increases. This paper provides the complete survey, which gives a comparative study about the existing multi-Document summarization techniques. This study gives an overall view about the current research issues, recent methods for summarization, data set and metrics suitable for summarization. This frame work also investigates about the performance competence of the existing techniques.
  • 关键词:Multi-Document Summarization; Generic Summary; Query Based Summary
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