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1.Semantic relatedness measurement based on Wikipedia link co-occurrence analysis
  Type: Research paper
  Author(s): Masahiro Ito, Kotaro Nakayama, Takahiro Hara, Shojiro Nishio
  Source: International Journal of Web Information Systems Volume: 7 Issue: 1 2011
 Abstract
This paper provides a foundation for a practical way of improving the effectiveness of an automatic retrieval system. Its main concern is with the weighting of index terms as a device for increasing retrieval effectiveness. Previously index terms have been assumed to be independent for the good reason that then a very simple weighting scheme can be used. In reality index terms are most unlikely to be independent. This paper explores one way of removing the independence assumption. Instead the extent of the dependence between index terms is measured and used to construct a non-linear weighting function. In a practical situation the values of some of the parameters of such a function must be estimated from small samples of documents. So a number of estimation rules are discussed and one in particular is recommended. Finally the feasibility of the computations required for a non-linear weighting scheme is examined.
Semantic_relatedness.pdf（全文下载）

2.A THEORETICAL BASIS FOR THE USE OF CO-OCCURRENCE DATA IN INFORMATION RETRIEVAL
  Type: General review
  Author(s): C.J. VAN RIJSBERGEN
  Source: Journal of Documentation Volume: 33 Issue: 2 1977
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A_THEORETICAL.pdf（全文下载）