Subjective Machine Classifiers

Dennis Reidsma, Rieks op den Akker

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    Abstract

    Many interesting phenomena in conversations require interpretative judgements by the annotators. This leads to data which is annotated with lower levels of agreement due to the differences in how annotators interpret conversations. Instead of throwing away this data we show how and when we can exploit it. We analyse the (dis)agreements between annotators for two different cases in a multimodal annotated corpus and explicitly relate the results to the way machine-learning algorithms perform on the annotated data.
    Original languageEnglish
    Title of host publicationBNAIC 2008
    Subtitle of host publicationProceedings of BNAIC 2008, the twentieth Belgian-Dutch Artificial Intelligence Conference, Enschede/Bad Boekelo, October 30-31, 2008
    EditorsAnton Nijholt, Maja Pantic, Mannes Poel, Hendri Hondorp
    Place of PublicationEnschede, the Netherlands
    PublisherUniversity of Twente
    Pages359-360
    Number of pages2
    Publication statusPublished - Oct 2008
    Event20th Benelux Conference on Artificial Intelligence, BNAIC 2008 - Boekelo, Netherlands
    Duration: 30 Oct 200831 Oct 2008
    Conference number: 20

    Publication series

    NameBNAIC: proceedings of the ... Belgium/Netherlands Artificial Intelligence Conference
    PublisherUniversity of Twente
    Number20
    ISSN (Print)1568-7805

    Conference

    Conference20th Benelux Conference on Artificial Intelligence, BNAIC 2008
    Abbreviated titleBNAIC
    CountryNetherlands
    CityBoekelo
    Period30/10/0831/10/08

    Keywords

    • EWI-14666
    • HMI-IA: Intelligent Agents
    • METIS-255031
    • IR-62631
    • HMI-MI: MULTIMODAL INTERACTIONS

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