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A syntactically-based query reformulation technique for information retrieval

  • Published:2008-01 Issue:1 Volume:44 Page:143-162
  • ISSN:0306-4573
  • Container-title:Information Processing & Management
  • language:en
  • Short-container-title:Information Processing & Management

Author:

Lioma C.,Ounis I.

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference54 articles.

1. Parsing by chunks;Abney,1991

2. Abney, S. (1996). Chunk stylebook. Internal report. http://www.vinartus.net/spa/96i.pdf.

3. Amati, G. (2003). Probabilistic models for information retrieval based on divergence from randomness. PhD thesis, University of Glasgow.

4. Probabilistic models of information retrieval based on measuring the divergence from randomness;Amati;ACM Transactions on Information Systems (TOIS),2002

5. Probabilistic models for automatic indexing;Bookstein;Journal of the American Society of Information Science,1974

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