Result: HNC's MatchPlus system
Title:
HNC's MatchPlus system
Authors:
Source:
TREC-1: Text Retrieval ConferenceNIST special publication. (500207):107-111
Publisher Information:
Gaithersburg, MD: National Institute of Standards and Technology, 1993.
Publication Year:
1993
Physical Description:
print, 7 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, Connexionnisme, Connectionism, Conexionismo, Informatique documentaire, Documentation data processing, Información documental, Algorithme, Algorithm, Algoritmo, Apprentissage, Learning, Aprendizaje, Contexte, Context, Contexto, Essai, Test, Ensayo, Grande dimension, Large dimension, Gran dimensión, Implémentation, Implementation, Ejecución, Indexation automatique, Automatic indexing, Indización automática, Langage naturel, Natural language, Lenguaje natural, Modèle, Models, Modelo, Recherche documentaire, Document retrieval, Recuperación documental, Recherche développement, Research and development, Investigación desarrollo, Réseau neuronal, Neural network, Red neuronal, Texte, Text, Texto, Traitement document, Document processing, Tratamiento documento, Vecteur, Vector, Context vector, MATCHPLUS, TREC, Traitement question, Question processing
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
HNC Inc., Cambridge MA 02138, 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.3772383
Database:
PASCAL Archive
Further Information
HNC is developing a neural network related approach to document trieval called MatchPlus Goals of this approach include high precision/neall performance, ease of use, incorporation of machine learning algorithms, and sensitivity to similarity of use. One of the most important aspects of MatchPlus is its representation of words (stems), documents, and queries by high (~ 300) dimensional vectors called context vectors. The paper give a brief overview of our implementation, and look at some preliminary test results.