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Use of Query Concepts and Information Extraction to Improve Information Retrieval Effectiveness
 

Summary: Use of Query Concepts and Information Extraction to
Improve Information Retrieval Effectiveness
David O. Holmes M. Catherine McCabe
NCR Corporation Advanced Analytic Tools
Rockville, Maryland Washington, D.C.
david.holmes@washingtondc.ncr.com cmccabe@gmu.edu
David A. Grossman Abdur Chowdhury
US Government Illinois Institute of Technology
Washington, DC Chicago, IL
dgrossm1@osf1.gmu.edu abdur@grouplogic.com
Ophir Frieder
1
Illinois Institute of Technology
Chicago, IL
ophir@csam.iit.edu
Abstract:
In TREC-7, we participated in both the automatic and manual tracks for category A. For the automatic runs,
we included a baseline run and an experimental run that filtered relevance feedback using proper nouns. The
baseline run used the short query versions and term thresholding to focus on the most meaningful terms. The
experimental run used the long queries (title, description and narrative) with relevance feedback that filtered

  

Source: Argamon, Shlomo - Department of Computer Science, Illinois Institute of Technology

 

Collections: Computer Technologies and Information Sciences