no code implementations • EMNLP 2021 • Arya D. McCarthy, Kevin P. Yancey, Geoff T. LaFlair, Jesse Egbert, Manqian Liao, Burr Settles
A challenge in designing high-stakes language assessments is calibrating the test item difficulties, either a priori or from limited pilot test data.
no code implementations • LREC 2022 • Rodrigo Wilkens, David Alfter, Xiaoou Wang, Alice Pintard, Anaïs Tack, Kevin P. Yancey, Thomas François
In this paper, we present the FABRA: readability toolkit based on the aggregation of a large number of readability predictor variables.
no code implementations • Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2020 • Kevin P. Yancey, Burr Settles
In this paper, we introduce the Recovering Difference Softmax Algorithm to address the particular challenges of this problem domain, and use it to successfully optimize millions of daily reminders for the online language-learning app Duolingo.