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Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces
Our research investigation focuses on the role of humans in supplying corrected examples in active learning cycles, an important aspect of deploying active learning in practice. In this paper, we discuss sampling strategies and sampling sizes in setting up an active learning system for human experiments in the task of content analysis, which involves labeling concepts in large volumes of text. The cost of conducting comprehensive human subject studies to experimentally determine the effects ofdoi:10.3115/v1/w14-3109 fatcat:7vaflxktfrbqbkfqmwls4vd7xm