Grotoco@SLAM: Second Language Acquisition Modeling with Simple Features, Learners and Task-wise Models
- Sigrid Klerke,
- Héctor Martínez Alonso,
- Thomson Reuters
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review
Open access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
NAACL HLT 2018Original language
EnglishPages from-to (Number of pages)
Pages 206-211Publication milestones
- Published - 2018
Publication status
Published - 2018
Place of publication
New OrleansPublisher
Association for Computational Linguistics, United StatesISBN (Print)
978-1-948087-11-7Publication IDs
- Scopus: 85070074062
Host publication title
Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational ApplicationsAbstract
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.
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.
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Accepted author manuscript, 675.1 KB