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  • 标题:A Review on Comparable Entity Mining
  • 本地全文:下载
  • 作者:Shrutika Narayane ; Sudipta Giri
  • 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:2014
  • 卷号:2
  • 期号:12
  • 出版社:S&S Publications
  • 摘要:Comparisons of different things plays crucial role in human decision making process. Even though,decision making is common in our daily life but requires proper knowledge and skills to know what should getcompare and what will be alternatives so as to make good decision. In this paper, we review the background and stateof-the-art of comparable entity data mining based on comparative questions.We first introduce the general backgroundof entity mining from comparative questions and review related phases, such as information extraction and comparatorranking. With each phase, we provide a related background, discuss the technical challenges, and review currentresearch on the techniques used in that phase. This survey is concluded with a discussion of latest experimental resultsfrom research articles.
  • 关键词:comparable entity mining; comparators; inductive extraction pattern; bootstrapping algorithm
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