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  • 标题:A Method for Keyword Extraction Using Retrieval Information from Students in Lectures
  • 本地全文:下载
  • 作者:Shuji Shinohara ; Yurie Iribe ; Hiroaki Kawashima
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2007
  • 卷号:22
  • 期号:6
  • 页码:604-611
  • DOI:10.1527/tjsai.22.604
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:Recently, e-learning systems for self-learning with various types of retrieval functions have been developed. This paper describes a method for keyword extraction using retrieval information stored from many students through the retrieval functions. Firstly, we show that (1) teachers tend to consider technical terms as important, while students unfamiliar with the technical terms tend to retrieve the terms, therefore (2) there is a clear correlation between keywords extracted by the teachers and the retrieval words by the students. Secondly, we propse a method utilizing retrieval information from the students for keyword extraction, and show that the mehod can achieve quite better performance than a method extracting keywords using only lecture information.
  • 关键词:learning support system ; retrieval information ; keyword extraction ; lecture information ; technical term
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