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Real-time On-Demand Crowd-powered Entity Extraction

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arxiv 1704.03627 v2 pith:2D2632AB submitted 2017-04-12 cs.HC cs.AIcs.CL

Ting-Hao 'Kenneth' Huang , Yun-Nung Chen , Jeffrey P. Bigham This is my paper · ORCID
classification cs.HCcs.AIcs.CL
keywords crowd-poweredinformationoutput-agreementsystemsusedachievesairlineamazon
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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.

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