An evaluation of query processing strategies using the TIPSTER collection

The TIPSTER collection is unusual because of both its size and detail. In particular, it describes a set of information needs, as opposed to traditional queries. These detailed representations of information need are an opportunity for research on different methods of formulating queries. This paper describes several methods of constructing queries for the INQUERY information retrieval system, and then evaluates those methods on the TIPSTER document collection. Both AdHoc and Routing query processing methods are evaluated.

[1]  W. Bruce Croft,et al.  Inference networks for document retrieval , 1989, SIGIR '90.

[2]  L. F. Rau,et al.  Extracting company names from text , 1991, [1991] Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application.

[3]  W. Bruce Croft,et al.  Experiments with query acquisition and use in document retrieval systems , 1989, SIGIR '90.

[4]  W. Bruce Croft,et al.  The use of phrases and structured queries in information retrieval , 1991, SIGIR '91.

[5]  Michael Loren Mauldin,et al.  Information retrieval by text skimming , 1989 .

[6]  W. Bruce Croft,et al.  Evaluation of an inference network-based retrieval model , 1991, TOIS.

[7]  Jeffrey Katzer,et al.  A study of the overlap among document representations , 1983, SIGIR '83.

[8]  Nicholas J. Belkin,et al.  The effect multiple query representations on information retrieval system performance , 1993, SIGIR.

[9]  John O'Connor,et al.  Answer-passage retrieval by text searching , 1980, J. Am. Soc. Inf. Sci..

[10]  W. Bruce Croft,et al.  The INQUERY Retrieval System , 1992, DEXA.

[11]  Kenneth Ward Church.  A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text , 1988, ANLP.

[12]  Donna K. Harman,et al.  The DARPA TIPSTER project , 1992, SIGF.

[13]  W. Bruce Croft,et al.  Relevance feedback and inference networks , 1993, SIGIR.

[14]  Kenneth Ward Church.  A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text , 1988, ANLP.

[15]  Gerard Salton,et al.  Improving retrieval performance by relevance feedback , 1997, J. Am. Soc. Inf. Sci..