Corpus ID: 237562915

A General-Purpose Crowdsourcing Computational Quality Control Toolkit for Python

@article{Ustalov2021AGC,
  title={A General-Purpose Crowdsourcing Computational Quality Control Toolkit for Python},
  author={Dmitry Ustalov and Nikita Pavlichenko and Vladimir N. Losev and Evgeny Tulin and Iulian Giliazev},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.08584}
}
Quality control is a crux of crowdsourcing. While most means for quality control are organizational and imply worker selection, golden tasks, and post-acceptance, computational quality control techniques allow parameterizing the whole crowdsourcing process of workers, tasks, and labels, inferring and revealing relationships between them. In this paper, we demonstrate Crowd-Kit, a general-purpose crowdsourcing computational quality control toolkit. It provides efficient implementations in Python… Expand

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