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  • 标题:Mining Event - Based Commonsense Knowledge from Web using NLP Techniques
  • 本地全文:下载
  • 作者:M.Rajesh K.Balasubramaniaswamy ; S. Aravindh
  • 期刊名称:Information and Knowledge Management
  • 印刷版ISSN:2224-5758
  • 电子版ISSN:2224-896X
  • 出版年度:2015
  • 卷号:5
  • 期号:6
  • 页码:68-73
  • 语种:English
  • 出版社:International Institute for Science, Technology Education
  • 摘要:The real life intelligent applications such as agents, expert systems, dialog understanding systems, weather forecasting systems, robotics etc. mainly focus on commonsense knowledge And basically these works on the knowledgebase which contains large amount of commonsense knowledge. The main intention of this work is to create a commonsense knowledge base by using an effective methodology to retrieve commonsense knowledge from large amount of web data. In order to achieve the best results, it makes use of different natural language processing techniques such as semantic role labeling, lexical and syntactic analysi.
  • 关键词:Automatic statistical semantic role tagger (ASSERT); lexico - syntactic pattern matching; semantic role labeling (SRL)
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