Task demands and individual variation in referring expressions

Adriana-Alexandra Baltaretu, Thiago Castro Ferreira

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

    Abstract

    Aiming to improve the human-likeness of natural language generation systems, this study investigates different sources of variation that might influence the production of referring expressions (REs), namely the effect of task demands and inter- intra- individual variation. We collected REs using a discrimination game and varied the instructions, telling speakers that they would get points for being fast, creative, clear, or no incentive would be mentioned. Our results show that task demands affected REs production (number of words, number of attributes), and we observe a considerable amount of variation among the length of REs produced by single speakers, as well as among the REs of different speakers referring to the same targets.
    Original languageEnglish
    Title of host publicationProceedings of the 9th International Natural Language Generation conference
    Place of PublicationEdinburgh, UK
    PublisherAssociation for Computational Linguistics (ACL)
    Pages89-93
    Number of pages5
    Publication statusPublished - Sept 2016
    EventInternational Conference on Natural Language Generation 2016 - Edinburgh, United Kingdom
    Duration: 5 Sept 20168 Sept 2016
    Conference number: 9
    http://www.macs.hw.ac.uk/InteractionLab/INLG2016/

    Conference

    ConferenceInternational Conference on Natural Language Generation 2016
    Abbreviated titleINLG 2016
    Country/TerritoryUnited Kingdom
    CityEdinburgh
    Period5/09/168/09/16
    Internet address

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