Treffer: TREC and TIPSTER experiments with INQUERY
Title:
TREC and TIPSTER experiments with INQUERY
Authors:
Source:
TREC-2 : text retrieval conferenceInformation processing & management. 31(3):327-343
Publisher Information:
Oxford: Elsevier Science, 1995.
Publication Year:
1995
Physical Description:
print, 13 ref
Original Material:
INIST-CNRS
Subject Terms:
Information and communication sciences, Sciences de l'information communication, Documentation, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Systèmes de recherche d'informations. Système de gestion documentaire et d'information, Information retrieval systems. Information and document management system, Systèmes de recherche d'information, Information retrieval systems, Sciences de l'information et de la communication, Information and communication sciences, Système de recherche documentaire. Système de gestion documentaire et d'information, Informatique documentaire, Documentation data processing, Información documental, Recherche documentaire, Document retrieval, Recuperación documental, Conception système, System design, Concepción sistema, Dispositif expérimental, Experimental device, Dispositivo experimental, Essai, Test, Ensayo, Evaluation système, System evaluation, Evaluación sistema, Modèle probabiliste, Probabilistic model, Modelo probabilista, Résultat expérimental, Experimental result, Resultado experimental, Système documentaire, Document retrieval system, Sistema recuperación documental, Système recherche, Search system, Sistema investigación, Texte intégral, Full text, Texto completo, Collection test, Test collection, INQUERY, Réseau inférence, Inference network, TIPSTER, TREC-2 (Text Retrieval Conference), Traitement question, Question processing
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Univ. Massachussetts, computer sci. dep., Amherst MA 01003-4610, United States
ISSN:
0306-4573
Rights:
Copyright 1995 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation
FRANCIS
FRANCIS
Accession Number:
edscal.3601532
Database:
PASCAL Archive
Weitere Informationen
INQUERY is a probabilistic information retrievaI system based upon a Bayesian inference network model. This paper describes recent improvements to the system as a result of participation in the TIPSTER project and the TREC-2 conference. Improvements include transforming forms-based specifications of information needs into complex structured queries, automatic query expansion, automatic recognition of features in documents, relevance feedback, and simulated document routing. Experiments with one- and two-gigabyte document collections are also described.