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

Sigrid Klerke, Héctor Martínez Alonso, Barbara Plank

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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

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