Skip to search boxSkip to navigationSkip to main content

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

  • Thomson Reuters
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
 Peer-review

Open access

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.

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
 Peer-review

Host publication Subtitle

NAACL HLT 2018

Original language

English

Pages from-to (Number of pages)

Pages 206-211

Publication milestones

  • Published - 2018

Publication status

Published - 2018

Place of publication

New Orleans

Publisher

Association for Computational Linguistics, United States

ISBN (Print)

978-1-948087-11-7

Publication IDs

  • Scopus: 85070074062

Host publication title

Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications

Publication metrics

PlumX, opens in new tab

Citation count
2
Captures
78

Access to documents