Grotoco@SLAM: Second Language Acquisition Modeling with Simple Features, Learners and Task-wise Models

Sigrid Klerke, Héctor Martínez Alonso, Barbara Plank

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

    Abstract

    We present our submission to the 2018 Duolingo Shared Task on Second Language
    Acquisition Modeling (SLAM). We focus on evaluating a range of features for the task, including user-derived measures, while examining how far we can get with a simple linear classifier. Our analysis reveals that errors differ per exercise format, which motivates our final and best-performing system: a task-wise (per exercise-format) model.
    OriginalsprogEngelsk
    TitelProceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications : NAACL HLT 2018
    UdgivelsesstedNew Orleans
    ForlagAssociation for Computational Linguistics
    Publikationsdato2018
    Sider206-211
    ISBN (Trykt)978-1-948087-11-7
    DOI
    StatusUdgivet - 2018

    Emneord

    • Second Language Acquisition
    • SLAM
    • Linear Classifier
    • Exercise Format
    • User-Derived Measures

    Fingeraftryk

    Dyk ned i forskningsemnerne om 'Grotoco@SLAM: Second Language Acquisition Modeling with Simple Features, Learners and Task-wise Models'. Sammen danner de et unikt fingeraftryk.

    Citationsformater