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Found 10 papers, 4 papers with code
Jump-Starting Item Parameters for Adaptive Language Tests
A challenge in designing high-stakes language assessments is calibrating the test item difficulties, either a priori or from limited pilot test data.
A Sleeping, Recovering Bandit Algorithm for Optimizing Recurring Notifications
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.
Simultaneous Translation and Paraphrase for Language Education
We present the task of Simultaneous Translation and Paraphrasing for Language Education (STAPLE).
Machine Learning--Driven Language Assessment
We describe a method for rapidly creating language proficiency assessments, and provide experimental evidence that such tests can be valid, reliable, and secure.
Second Language Acquisition Modeling
We present the task of \textit{second language acquisition (SLA) modeling}.
Closing the Loop: Fast, Interactive Semi-Supervised Annotation With Queries on Features and Instances
This paper describes DUALIST, an active learning annotation paradigm which solicits and learns from labels on both features (e. g., words) and instances (e. g., documents).
Multiple-Instance Active Learning
In particular, we consider the case in which an MI learner is allowed to selectively query unlabeled instances in positive bags.
Biomedical Named Entity Recognition using Conditional Random Fields and Rich Feature Sets
As the wealth of biomedical knowledge in the form of literature increases, there is a rising need for effective natural language processing tools to assist in organizing, curating, and retrieving this information.
