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Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text classification where it is frequently possible to provide domain knowledge in the form of words that associate strongly with a class. In this paper, we consider the novel problem of active dual supervision, or, how to optimally query an example and feature labeling oracle to simultaneously collect two different forms ofdoi:10.1145/1553374.1553496 dblp:conf/icml/SindhwaniML09 fatcat:iqdvno3c2vcxnnkeutfmkv6dzu