Addressee Identification In Face-to-Face Meetings

N. Jovanovic, Hendrikus J.A. op den Akker, Antinus Nijholt

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    52 Citations (Scopus)
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    Abstract

    We present results on addressee identification in four-participants face-to-face meetings using Bayesian Network and Naive Bayes classifiers. First, we investigate how well the addressee of a dialogue act can be predicted based on gaze, utterance and conversational context features. Then, we explore whether information about meeting context can aid classifiers’ performances. Both classifiers perform the best when conversational context and utterance features are combined with speaker’s gaze information. The classifiers show little gain from information about meeting context.
    Original languageUndefined
    Title of host publicationProceedings of 11th Conference of the European Chapter of the ACL (EACL)
    EditorsD. McCarthy, S. Wintner
    Place of PublicationPennsylvania, USA
    PublisherAssociation for Computational Linguistics (ACL)
    Pages169-176
    Number of pages8
    ISBN (Print)1-932432-59-0
    Publication statusPublished - Apr 2006
    Event11th Conference of the European Chapter of the ACL, EACL 2006 - Trento, Italy
    Duration: 3 Apr 20067 Apr 2006

    Publication series

    Name
    PublisherAssociation for Computational Linguistics
    Numbersuppl 2

    Conference

    Conference11th Conference of the European Chapter of the ACL, EACL 2006
    Period3/04/067/04/06
    Other3-7 April 2006

    Keywords

    • HMI-CI: Computational Intelligence
    • EWI-8802
    • EC Grant Agreement nr.: FP6/506811
    • IR-66786
    • METIS-237820

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