AAAI Publications, First AAAI Conference on Human Computation and Crowdsourcing

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Statistical Quality Estimation for General Crowdsourcing Tasks
Yukino Baba, Hisashi Kashima

Last modified: 2013-11-03

Abstract


One of the biggest challenges for requesters and platform providers of crowdsourcing is quality control,which is to expect high-quality results from crowd workers.We propose an unsupervised statistical quality estimation method for general crowdsourcing tasks with unstructured response formats such as article writing, program coding, and logo designing, which occupy the majority on most crowdsourcing marketplaces.

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