Treffer: Information retrieval applications : using linguistic resources or using language processing

Title:
Information retrieval applications : using linguistic resources or using language processing
Authors:
SMEATON, A. F, KELLEDY, F, O'DONNELL, R, QUIGLEY, I, RICHARDSON, R, TOWNSEND, E
Source:
Génie linguistique 95 (Montpellier, 27-30 juin 1995). :65-73
Publisher Information:
Nanterre: EC2, 1995.
Publication Year:
1995
Physical Description:
print, 9 ref
Original Material:
INIST-CNRS
Subject Terms:
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, Traitement et recherche de l'information, Information processing and retrieval, Structure et analyse des documents et de l'information, Information and document structure and analysis, Analyse des contenus, Content analysis, Sciences de l'information et de la communication, Information and communication sciences, Traitement et recherche d'information, Informatique documentaire, Documentation data processing, Información documental, Lexicographie, Lexicography, Lexicografía, Anglais, English, Inglés, Application, Aplicación, Essai, Test, Ensayo, Filtrage, Filtering, Filtrado, Grande dimension, Large dimension, Gran dimensión, Lexique, Lexicon, Léxico, Recherche documentaire, Document retrieval, Recuperación documental, Ressource, Resource, Recurso, Système recherche, Search system, Sistema investigación, Texte intégral, Full text, Texto completo, Base donnée lexicale, Lexical database, Filtrage information, Information filtering, Indépendance domaine, Domain independence, POS tagging, Ressource linguistique, Linguistic resource, WordNet
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dublin City univ., school computer applications, Ireland
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=3145675
Rights:
Copyright 1996 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
Accession Number:
edscal.3145675
Database:
PASCAL Archive

Weitere Informationen

In the work we report here we are concerned with delivering information retrieval applications to users where our over-riding constraints are for handling large volumes of domain independent texts. Our observatons from published work and our efforts previously reported are that NLP techniques, beyond simple tagging and morphological analysis, do not yet offer enhancements to retrieval effectiveness and certainly not to retrieval efficiency when dealing with large vomume, domain- independent applications. With this in mind we have adoptesd a philosophy of using NLM resources tahn NLP processes in our work. Here we outlines details of 4 our going projects, retrieval on +2Gbytes English texts, retrieval on +2Gbytes English texts, retrieval on +200 Mbytes Spanish newspaper texts, retrieval on +3000 multimedia images and information, filtering of USENET NewS articles.