Aspectual flexibility increases with agentivity and concreteness a computational classification experiment on polysemous verbs

Ingrid Falk, Fabienne Martin

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    We present an experimental study making use of a machine learning approach to identify the factors that affect the aspectual value that characterises polysemous verbs under each of their readings. The study is based on various morpho-syntactic and semantic features collected from a French lexical resource and on a gold standard aspectual classification of verb readings designed by an expert. Our results support the tested hypothesis, namely that agentivity and abstractness influence lexical aspect.

    Original languageEnglish
    Title of host publicationProceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016
    EditorsNicoletta Calzolari, Khalid Choukri, Helene Mazo, Asuncion Moreno, Thierry Declerck, Sara Goggi, Marko Grobelnik, Jan Odijk, Stelios Piperidis, Bente Maegaard, Joseph Mariani
    PublisherEuropean Language Resources Association (ELRA)
    Pages1212-1220
    Number of pages9
    ISBN (Electronic)9782951740891
    Publication statusPublished - 2016
    Event10th International Conference on Language Resources and Evaluation, LREC 2016 - Portoroz, Slovenia
    Duration: 23 May 201628 May 2016

    Publication series

    NameProceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016

    Conference

    Conference10th International Conference on Language Resources and Evaluation, LREC 2016
    Country/TerritorySlovenia
    CityPortoroz
    Period23/05/1628/05/16

    Keywords

    • Aspectual flexibility
    • French lexicon
    • Lexical aspect

    Fingerprint

    Dive into the research topics of 'Aspectual flexibility increases with agentivity and concreteness a computational classification experiment on polysemous verbs'. Together they form a unique fingerprint.

    Cite this