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Treffer: Recent developments in natural language text retrieval

Title:
Recent developments in natural language text retrieval
Source:
TREC-2: Text retrieval conferenceNIST special publication. (500215):123-136
Publisher Information:
Gaithersburg, MD: National Institute of Standards and Technology, 1994.
Publication Year:
1994
Physical Description:
print, 23 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, Linguistique appliquée, Applied linguistics, Linguística aplicada, Linguistique mathématique, Computational linguistics, Linguística matemática, Analyse corrélation, Correlation analysis, Análisis correlación, Analyse syntaxique, Syntactic analysis, Análisis sintáxico, Analyseur, Analyzer, Analizador, Conception système, System design, Concepción sistema, Configuration, Configuración, Contexte, Context, Contexto, Distribution statistique, Statistical distribution, Distribución estadística, Expérimentation, Experimentation, Experimentación, Extraction information, Information extraction, Extractión información, Fichier inverse, Inverted file, Archivo invertido, Indexation automatique, Automatic indexing, Indización automática, Langage naturel, Natural language, Lenguaje natural, Mot relié, Connected word, Palabra ligada, Potentiel paire, Pair potential, Potencial par, Prétraitement, Pretreatment, Pretratamiento, Recherche documentaire, Document retrieval, Recuperación documental, Structure composée, Compounded structure, Estructura compuesta, Syntagme, Syntagm, Sintagma, Texte intégral, Full text, Texto completo, Donnée contenu, Content data, Structure prédicat argument, Predicate argument structure, TREC-2, Tête syntagme, Phrase head
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
New York univ., New York NY 10003, 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
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.3461416
Database:
PASCAL Archive

Weitere Informationen

This paper reports on some revent developments in our natural language text retrieval system. The system uses advanced natural language processing techniques to enhance the effectiveness of term-based document retrieval. Th backbone of our system is a traditional statistical engine which builds inverted index files from pre-processed documents and then searches and ranks the documents in response to user queries. Natural language processing is used to (1) preprocess the document in order to extract content-carrying term, (2) discover inter-term dependencies and build a conceptual hierarchy specific to the database domain, and (3) process user's natural language requests into effective search queries. While the general desigh of the system has not changed since TREC-2 conference, we nonetheless replaced several components and added a number of new features which are describes in the present paper. While the general design of the system has not changed since TREC-1 conference, we nonetheless replaced several components and added a number of new features which are described in the present paper.