Analyse automatique de textes comme point de départ d'un processus d'annotation
Identifieur interne : 006443 ( Main/Exploration ); précédent : 006442; suivant : 006444Analyse automatique de textes comme point de départ d'un processus d'annotation
Auteurs : Sahbi Sidhom [France] ; Charles Robert [France] ; Amos David [France]Source :
Descripteurs français
- mix :
Abstract
L'analyse automatique de textes a élargi la perspective de travail sur les contenus en ouvrant les études sur les productions langagières : l'annotation est un cas d'étude. Cette dernière est définie comme une information textuelle, graphique ou sonore, attachée à un document. Notre contribution se distingue par une différenciation de la représentation de l'annotation comme valeur ajoutée à un contenu, le contenu lui-même du document et les informations obtenues par un système de recherche d'information. C'est une nouvelle approche dans la conception d'un système d'information dédié à l'intelligence économique. On se donne comme objectif de présenter des modélisations concurrentes afin de faciliter l'appariement entre requêtes d'interrogation et sources documentaires dans un processus de recherche d'information en tenant compte de la pertinence des résultats. La validation de la pertinence des résultats et leur fiabilité sont pondérés aux besoins et aux centres d'intérêts des utilisateurs finaux : les décideurs.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 005597
- to stream Hal, to step Curation: 005597
- to stream Hal, to step Checkpoint: 004823
- to stream Main, to step Merge: 006740
- to stream Main, to step Curation: 006443
Le document en format XML
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BP 60120, 54 003 NANCY cedex, France</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300292" type="indirect"><org type="institution" xml:id="struct-300292" status="OLD"><orgName>Université Nancy 2</orgName><date type="end">2011-12-31</date><desc><address><addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" type="indirect"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>Processus d'annotation</term><term>analyse automatique</term><term>attribut</term><term>classification</term><term>concept</term><term>connaissance</term><term>gestion de connaissances</term><term>spécification de concepts</term><term>syntagme nominal (SN)</term><term>système de recherche d'information (SRI)</term><term>valeur</term><term>valeur.</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">L'analyse automatique de textes a élargi la perspective de travail sur les contenus en ouvrant les études sur les productions langagières : l'annotation est un cas d'étude. Cette dernière est définie comme une information textuelle, graphique ou sonore, attachée à un document. Notre contribution se distingue par une différenciation de la représentation de l'annotation comme valeur ajoutée à un contenu, le contenu lui-même du document et les informations obtenues par un système de recherche d'information. C'est une nouvelle approche dans la conception d'un système d'information dédié à l'intelligence économique. On se donne comme objectif de présenter des modélisations concurrentes afin de faciliter l'appariement entre requêtes d'interrogation et sources documentaires dans un processus de recherche d'information en tenant compte de la pertinence des résultats. La validation de la pertinence des résultats et leur fiabilité sont pondérés aux besoins et aux centres d'intérêts des utilisateurs finaux : les décideurs.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Sidhom, Sahbi" sort="Sidhom, Sahbi" uniqKey="Sidhom S" first="Sahbi" last="Sidhom">Sahbi Sidhom</name></region><name sortKey="David, Amos" sort="David, Amos" uniqKey="David A" first="Amos" last="David">Amos David</name><name sortKey="Robert, Charles" sort="Robert, Charles" uniqKey="Robert C" first="Charles" last="Robert">Charles Robert</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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