Treffer: N-gram-based text filtering for TREC-2
Title:
N-gram-based text filtering for TREC-2
Authors:
Source:
TREC-2: Text retrieval conferenceNIST special publication. (500215):171-179
Publisher Information:
Gaithersburg, MD: National Institute of Standards and Technology, 1994.
Publication Year:
1994
Physical Description:
print, 4 ref
Original Material:
INIST-CNRS
Subject Terms:
Science technology, industry, Sciences et technologies, industries, 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, Chaîne caractère, Character string, Cadena carácter, Configuration parallèle, Parallel configuration, Configuración paralela, Description système, System description, Descripción sistema, Dispositif expérimental, Experimental device, Dispositivo experimental, Evaluation système, System evaluation, Evaluación sistema, Filtrage, Filtering, Filtrado, Hachage, Hashing, Indexation automatique, Automatic indexing, Indización automática, Méthode, Method, Método, Recherche développement, Research and development, Investigación desarrollo, Système documentaire, Document retrieval system, Sistema recuperación documental, Système multitraitement, Multiprocessing system, Sistema multitratamiento, Texte, Text, Texto, Tâche appariement, Matching task, Tarea apareamiento, Collection test, Test collection, TREC-2
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Environmental res. inst. Michigan, Ann Arbor MI 48113-4001, United States
ISSN:
1048-776X
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.3464815
Database:
PASCAL Archive
Weitere Informationen
Most text retrieval and filtering systems depend heavily on the accuracy of the text they process. In other words, the various mechanismms that they use depend on every word in the queries being correctly and completely spelled. To get around this limitation, our experimental text filtering system uses N-gram-based matching for document retrieval and routing tasks. The systems's first application was for the TREC-2 retrieval and routing task. Its performace on this task was promising, pointing the way for several types of enhancements, both for speed and effectiveness.