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

Sigrid Klerke, Héctor Martínez Alonso, Barbara Plank

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-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.
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

Fingerprint

Dive into the research topics of 'Grotoco@SLAM: Second Language Acquisition Modeling with Simple Features, Learners and Task-wise Models'. Together they form a unique fingerprint.

Cite this