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

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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.
Original languageEnglish
Title of host publicationProceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications : NAACL HLT 2018
Place of PublicationNew Orleans
PublisherAssociation for Computational Linguistics
Publication date2018
Pages206-211
ISBN (Print)978-1-948087-11-7
DOIs
Publication statusPublished - 2018

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