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This project, a collaboration with Such Saria [1] at Johns Hopkins, is developing a new approach to text classification that combines concepts from high accuracy rule-based prediction, crowdsourcing annotation consistency, and ensemble learning in order to learn classifiers in the presence of sparse annotations.