Treffer: Document retrieval using linguistic knowledge
Title:
Document retrieval using linguistic knowledge
Authors:
Source:
Intelligent multimedia information retrieval systems and management (New York NY, October 11-12, 1994). :106-114
Publisher Information:
Paris: CID, 1994.
Publication Year:
1994
Physical Description:
print, 4 ref
Original Material:
INIST-CNRS
Subject Terms:
Documentation, 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, Indexation. Classification. Résumé. Synthèses, Indexing. Classification. Abstracting. Syntheses, Sciences de l'information et de la communication, Information and communication sciences, Traitement et recherche d'information, Informatique documentaire, Documentation data processing, Información documental, Linguistique appliquée, Applied linguistics, Linguística aplicada, Analyse documentaire, Document analysis, Análisis documental, Analyse langage, Language analysis, Análisis lenguaje, Analyseur, Analyzer, Analizador, Conception système, System design, Concepción sistema, Essai, Test, Ensayo, Module, Módulo, Modèle linguistique, Linguistic model, Modelo linguístico, Multiple, Múltiple, Prototype, Prototipo, Recherche documentaire, Document retrieval, Recuperación documental, Recherche développement, Research and development, Investigación desarrollo, Texte intégral, Full text, Texto completo, Traitement document, Document processing, Tratamiento documento, Connaissance linguistique, Linguistic knowledge, DR-LINK, Linguistique texte, Text linguistics, Représentation texte, Text representation, Traitement question, Question processing
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Syracuse univ., cent. sci. technology, Syracuse NY 13244-4100, United States
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.3553670
Database:
PASCAL Archive
Weitere Informationen
The theoretical goal underlying the DR-LINK Text Retrieval System is to represent and match document and queries at the various linguistic levels at which human language conveys meaning. Accordingly, we have developed a modular system which processes and represent text, at the lexical, syntactic, semantic, and discourse levels of language. In concert, these levels of processing permit DR-LINK to achieve a level of intelligent retrieval beyond more traditional appraches. In addition, the rich annotations to text produced by DR-LINK are replete with much of the semantics necessary for more precise information extraction tasks.