Treffer: Cobalt: can shallow and deep analysis techniques be integrated for text categorization purposes?
Title:
Cobalt: can shallow and deep analysis techniques be integrated for text categorization purposes?
Authors:
Source:
Proceedings of language engineering convention (Paris la Défense [Puteaux], 6-7 July 1994). :55-60
Publisher Information:
European Network in language and Speech, 1994.
Publication Year:
1994
Physical Description:
print, 11 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, Sciences de l'information et de la communication, Information and communication sciences, Traitement et recherche d'information, Informatique documentaire, Documentation data processing, Información documental, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Analyse langage, Language analysis, Análisis lenguaje, Analyse linguistique, Linguistic analysis, Análisis linguístico, Analyse sémantique, Semantic analysis, Análisis semántico, Catégorisation, Categorization, Categorización, Module, Módulo, Niveau peu profond, Shallow level, Nivel poco profundo, Niveau profond, Deep level, Nivel profundo, Projet, Project, Proyecto, Recherche développement, Research and development, Investigación desarrollo, Représentation connaissances, Knowledge representation, Representación conocimientos, Système automatique, Automatic system, Sistema automático, Texte, Text, Texto, Traitement automatisé, Automated processing, Tratamiento automatizado, COBALT, Linguistique informatique, Computational linguistics, Traitement automatique langues naturelle, Natural language processing
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Quinary S.p.A., 20122 Milano, Italy
Rights:
Copyright 1996 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.3145809
Database:
PASCAL Archive
Weitere Informationen
In this paper we discuss how different techniques can be integrated in a system designed to perform fine grain text categorization, involving information extraction, of natural language texts (agency news). The techniques used range from pattern based text analysis, used for a first shallow categorization, to full NLP, including full text parsing and semantic analysis of the text. The main challenge is obviously to manage the integration, both from the point of view of effectively being able to obtain the best result from each component and from the point of view of building, extendible system.