Treffer: The QA system
Title:
The QA system
Authors:
Source:
TREC-1: Text Retrieval ConferenceNIST special publication. (500207):199-207
Publisher Information:
Gaithersburg, MD: National Institute of Standards and Technology, 1993.
Publication Year:
1993
Physical Description:
print, 9 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, 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, Sémantique, Semantics, Semántica, Analyse lexicale, Lexical analysis, Análisis lexical, Analyse sémantique, Semantic analysis, Análisis semántico, Calcul automatique, Computing, Cálculo automático, Essai, Test, Ensayo, Evaluation système, System evaluation, Evaluación sistema, Indexation automatique, Automatic indexing, Indización automática, Langage naturel, Natural language, Lenguaje natural, Modèle, Models, Modelo, Orienté objet, Object oriented, Orientado objeto, Prototype, Prototipo, Prétraitement, Pretreatment, Pretratamiento, Question documentaire, Query, Pregunta documental, Recherche documentaire, Document retrieval, Recuperación documental, Recherche développement, Research and development, Investigación desarrollo, Similitude, Similarity, Similitud, Système documentaire, Document retrieval system, Sistema recuperación documental, Texte, Text, Texto, Thesaurus, Tesaurus, Traitement langage, Language processing, Tratamiento lenguaje, Catégorie sémantique, Semantic category, GA SYSTEM, Rôle thématique, Thematic role, TREC
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Univ. Central Florida, dep. computer sci., Orlando FL 32816, United States
ISSN:
1048-776X
Rights:
Copyright 1994 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.3772390
Database:
PASCAL Archive
Weitere Informationen
In the GA system, semantic information is combined with keywords to measure similarity between natural language queries and documents. A combination of keyword relevance and semantic relevance is achieved by treating keyword weights and semantic weights alike using the vector processing model as a basis for the combination. The approach is based on (1) the database concept of semantic modeling and (2) the linguistic concept of thematic roles. Semantic information is stored in a lexicon built manually using information found in Roget's thesaurus.