  Output-agreement mechanisms such as ESP Game have been widely used in human
computation to obtain reliable human-generated labels. In this paper, we argue
that a "time-limited" output-agreement mechanism can be used to create a fast
and robust crowd-powered component in interactive systems, particularly
dialogue systems, to extract key information from user utterances on the fly.
Our experiments on Amazon Mechanical Turk using the Airline Travel Information
System (ATIS) dataset showed that the proposed approach achieves high-quality
results with an average response time shorter than 9 seconds.
