Computational Linguistics and Information Processing

Revision as of 05:13, 8 December 2017 by Louiqa (talk | contribs)

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.