Dialogue-act tagging using smart feature selection: results on multiple corpora

Daan Verbree, R.J. Rienks, Dirk K.J. Heylen

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

    33 Citations (Scopus)
    391 Downloads (Pure)


    This paper presents an overview of our on-going work on dialogueact classification. Results are presented on the ICSI, Switchboard, and on a selection of the AMI corpus, setting a baseline for forthcoming research. For these corpora the best accuracy scores obtained are 89.27%, 65.68% and 59.76%, respectively. We introduce a smart compression technique for feature selection and compare the performance from a subset of the AMI transcriptions with AMI-ASR output for the same subset.
    Original languageUndefined
    Title of host publicationFirst International IEEE Workshop on Spoken Language Technology SLT 2006
    EditorsB. Raorke
    Place of PublicationPalm Beach
    PublisherIEEE Computer Society
    Number of pages4
    ISBN (Print)1-4244-0873-3
    Publication statusPublished - Dec 2006
    EventFirst International IEEE Workshop on Spoken Language Technology, SLT 2006 - Palm Beach, Aruba
    Duration: 10 Dec 200613 Dec 2006

    Publication series

    PublisherIEEE Computer Society


    WorkshopFirst International IEEE Workshop on Spoken Language Technology, SLT 2006
    Other10-13 December 2006


    • EC Grant Agreement nr.: FP6/506811
    • EWI-9501
    • IR-67003
    • METIS-237662
    • HMI-CI: Computational Intelligence

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