Real-time On-Demand Crowd-powered Entity Extraction

April 12, 2017 · Entered Twilight · 🏛 arXiv.org

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Authors Ting-Hao 'Kenneth' Huang, Yun-Nung Chen, Jeffrey P. Bigham arXiv ID 1704.03627 Category cs.HC: Human-Computer Interaction Cross-listed cs.AI, cs.CL Citations 11 Venue arXiv.org Repository https://github.com/windx0303/dialogue-esp-game ⭐ 8 Last Checked 1 month ago
Abstract
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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