Crowdsourcing Control: Moving Beyond Multiple Choice

HCOMP@AAAI, pp. 491-500, 2012.

Cited by: 92|Bibtex|Views47
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

To ensure quality results from crowdsourced tasks, requesters often aggregate worker responses and use one of a plethora of strategies to infer the correct answer from the set of noisy responses. However, all current models assume prior knowledge of all possible outcomes of the task. While not an unreasonable assumption for tasks that c...More

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