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  • 标题:Survey on Information Extraction and Summarization of Multiple News Articles
  • 本地全文:下载
  • 作者:V.Swathi Lakshmi ; Dr. S. Lakshmana Pandian
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2016
  • 卷号:4
  • 期号:3
  • 页码:3272
  • DOI:10.15680/IJIRCCE.2016.0403059
  • 出版社:S&S Publications
  • 摘要:Now a days the web contains huge and growing amount of information. The information explosion in web consumes more time to read and grasp information from different sources. News Articles are p ublished by large groups of News Providers and they generate tons of news contents each and every minute of the day. The user needs a lot of analysis to understand the main idea described in the documents. News summarization is a process, which creates a s horter version of multiple news articles by preserving the information and overall meaning. It helps humans to digest the main contents of related documents. Hence we proposed an IE - supported summarization system by combining Ontology based Information Ext raction and Abstraction - based Multi - document summarization
  • 关键词:Informationextraction;ontology;Multi-Document Summarization;Natural Language Processing (NLP)
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