This is the CodaLab site for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM).
Jan 10, 2018 | Data release (phase 1): TRAIN and DEV sets |
Mar 9, 2018 | Data release (phase 2): blind TEST set |
Mar 19, 2018 | Final predictions deadline (technically 3/20 @ noon UTC) |
Mar 21, 2018 | Final results announcement |
Mar 28, 2018 | Draft system papers due |
Apr 09, 2018 | System paper reviews returned |
Apr 16, 2018 | Camera-ready system papers due |
Jun 05, 2018 | Workshop at NAACL-HLT in New Orleans! |
The primary evaluation metric will be area under the ROC curve (AUROC). F1 score (with a threshold of 0.5) will also be reported and analyzed. As such, some teams may wish to attempt combined classification and ranking methods. Note that the label 1 (denoting a mistake) is considered the "positive" class for both metrics.
The official AUROC and F1 metrics (plus a few others) are implemented in eval.py alongside the baseline code.
All shared task participants are expected to submit a system paper describing their approach and results, to be presented at the BEA Workshop at the NAACL-HLT conference in June 2018. This paper will be published in the workshop proceedings and available through the ACL Anthology website.
The shared task data set is released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Start: March 6, 2018, midnight
Description: Submission format: upload a zip containing prediction files for all tracks you are participating in (up to three). The grading script will automatically look for and grade one file containing for each track (i.e., by matching 'en_es', 'es_en', or 'fr_en' in the filename).
Start: March 9, 2018, noon
Description: Submission format: upload a zip containing prediction files for all tracks you are participating in (up to three). The grading script will automatically look for and grade one file containing for each track (i.e., by matching 'en_es', 'es_en', or 'fr_en' in the filename).
March 20, 2018, 11:59 a.m.
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