Generating varied narrative probability exercises

Mariet Theune, Roan Boer Rookhuiszen, Hendrikus J.A. op den Akker, Hanneke Geerlings

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    This paper presents Genpex, a system for automatic generation of narrative probability exercises. Generation of exercises in Genpex is done in two steps. First, the system creates a specification of a solvable probability problem, based on input from the user (a researcher or test developer) who selects a specific question type and a narrative context for the problem. Then, a text expressing the probability problem is generated. The user can tune the generated text by setting the values of some linguistic variation parameters. By varying the mathematical content of the exercise, its narrative context and the linguistic parameter settings, many different exercises can be produced. Here we focus on the natural language generation part of Genpex. After describing how the system works, we briefly present our first evaluation results, and discuss some aspects requiring further investigation.
    Original languageUndefined
    Title of host publicationProceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications (BEA-6) at ACL-HLT 2011
    EditorsJ. Tetreault, J. Burstein, C. Leacock
    Place of PublicationPortland, Oregon
    PublisherAssociation for Computational Linguistics (ACL)
    Number of pages10
    ISBN (Print)978-1-93728-403-9
    Publication statusPublished - Jun 2011
    EventSixth workshop on innovative use of NLP for building educational applications: Proceedings of the sixth workshop on innovative use of NLP for building educational applications - Portland, Oregon
    Duration: 24 Jun 2011 → …

    Publication series

    PublisherAssociation for Computational Linguistics


    ConferenceSixth workshop on innovative use of NLP for building educational applications
    CityPortland, Oregon
    Period24/06/11 → …


    • IR-78604
    • EWI-20801
    • METIS-282124

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