Étude quantitative des disfluences dans le discours de schizophrènes : automatiser pour limiter les biais
Identifieur interne : 000993 ( Hal/Checkpoint ); précédent : 000992; suivant : 000994Étude quantitative des disfluences dans le discours de schizophrènes : automatiser pour limiter les biais
Auteurs : Maxime Amblard [France] ; Karën Fort [France]Source :
Abstract
We present in this article the results of experiments we led concerning disfluencies in the discourse of schizophrenic patients (in remediation). These experiments are part of a larger study dealing with other levels of linguistic analysis, that could eventually help identifying clues leading to the diagnostic of the disease. This study largely relies on natural language processing tools, which allow for the rapid processing of massive textual data (here, more than 375,000 words). The first phase of the study, which we present here, confirmed the correlation between schizophrenia and the number of disfluences appearing in the discourse.
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Hal:hal-01054391Le document en format XML
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These experiments are part of a larger study dealing with other levels of linguistic analysis, that could eventually help identifying clues leading to the diagnostic of the disease. This study largely relies on natural language processing tools, which allow for the rapid processing of massive textual data (here, more than 375,000 words). The first phase of the study, which we present here, confirmed the correlation between schizophrenia and the number of disfluences appearing in the discourse.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="fr">Étude quantitative des disfluences dans le discours de schizophrènes : automatiser pour limiter les biais</title><author role="aut"><persName><forename type="first">Maxime</forename><surname>Amblard</surname></persName><email>maxime.amblard@loria.fr</email><ptr type="url" target="http://www.loria.fr/~amblard"></ptr><idno type="idhal">maxime-amblard</idno><idno type="halauthor">949515</idno><affiliation ref="#struct-150772"></affiliation></author><author role="aut"><persName><forename type="first">Karën</forename><surname>Fort</surname></persName><email>karen.fort@loria.fr</email><ptr type="url" target="http://www.loria.fr/~fortkare/index.php"></ptr><idno type="idhal">karen-fort</idno><idno type="halauthor">1006800</idno><affiliation ref="#struct-150772"></affiliation></author><editor role="depositor"><persName><forename>Karën</forename><surname>Fort</surname></persName><email>karen.fort@paris-sorbonne.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2014-08-06 15:11:23</date><date type="whenModified">2016-01-26 01:07:40</date><date type="whenReleased">2014-08-06 15:25:00</date><date type="whenProduced">2014-07-01</date><date type="whenEndEmbargoed">2014-08-06</date><ref type="file" target="https://hal.inria.fr/hal-01054391/document"><date notBefore="2014-08-06"></date></ref><ref type="file" subtype="greenPublisher" n="1" target="https://hal.inria.fr/hal-01054391/file/Paper_O-S2.1.pdf"><date notBefore="2014-08-06"></date></ref></edition><respStmt><resp>contributor</resp><name key="120226"><persName><forename>Karën</forename><surname>Fort</surname></persName><email>karen.fort@paris-sorbonne.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">hal-01054391</idno><idno type="halUri">https://hal.inria.fr/hal-01054391</idno><idno type="halBibtex">amblard:hal-01054391</idno><idno type="halRefHtml">TALN - Traitement Automatique des Langues Naturelles, Jul 2014, Marseille, France. pp.292-303, 2014</idno><idno type="halRef">TALN - Traitement Automatique des Langues Naturelles, Jul 2014, Marseille, France. pp.292-303, 2014</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA_TEST">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INRIA2">INRIA 2</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="fr">Étude quantitative des disfluences dans le discours de schizophrènes : automatiser pour limiter les biais</title><author role="aut"><persName><forename type="first">Maxime</forename><surname>Amblard</surname></persName><email>maxime.amblard@loria.fr</email><ptr type="url" target="http://www.loria.fr/~amblard"></ptr><idno type="idHal">maxime-amblard</idno><idno type="halAuthorId">949515</idno><affiliation ref="#struct-150772"></affiliation></author><author role="aut"><persName><forename type="first">Karën</forename><surname>Fort</surname></persName><email>karen.fort@loria.fr</email><ptr type="url" target="http://www.loria.fr/~fortkare/index.php"></ptr><idno type="idHal">karen-fort</idno><idno type="halAuthorId">1006800</idno><affiliation ref="#struct-150772"></affiliation></author></analytic><monogr><meeting><title>TALN - Traitement Automatique des Langues Naturelles</title><date type="start">2014-07-01</date><date type="end">2014-07-04</date><settlement>Marseille</settlement><country key="FR">France</country></meeting><imprint><biblScope unit="pp">292-303</biblScope><date type="datePub">2014-07-03</date></imprint></monogr><ref type="seeAlso">http://www.taln2014.org/proceedings/TALN/ArticlesLongs/Paper_O-S2.1.pdf</ref></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><keywords scheme="author"><term xml:lang="it">pathological discourse</term><term xml:lang="it">schizophrenia</term><term xml:lang="it">disfluencies</term></keywords><classCode scheme="halDomain" n="info.info-tt">Computer Science [cs]/Document and Text Processing</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">We present in this article the results of experiments we led concerning disfluencies in the discourse of schizophrenic patients (in remediation). These experiments are part of a larger study dealing with other levels of linguistic analysis, that could eventually help identifying clues leading to the diagnostic of the disease. This study largely relies on natural language processing tools, which allow for the rapid processing of massive textual data (here, more than 375,000 words). The first phase of the study, which we present here, confirmed the correlation between schizophrenia and the number of disfluences appearing in the discourse.</abstract><abstract xml:lang="fr">Nous présentons dans cet article les résultats d'expériences que nous avons menées concernant les disfluences dans le discours de patients schizophrènes (en remédiation). Ces expériences ont eu lieu dans le cadre d'une étude plus large recouvrant d'autres niveaux d'analyse linguistique, qui devraient aider à l'identification d'indices linguistiques conduisant au diagnostic de schizophrénie. Cette étude fait la part belle aux outils de traitement automatique des langues qui permettent le traitement rapide de grandes masses de données textuelles (ici, plus de 375 000 mots). La première phase de l'étude, que nous présentons ici, a confirmé la corrélation entre l'état schizophrène et le nombre de disfluences présentes dans le discours.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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