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Crowdsourcing subjective annotations using pairwise comparisons reduces bias and error compared to the majority-vote method.

Hasti NarimanzadehArash Badie ModiriIuliia SmirnovaTed Hsuan Yun Chen
Published in: CoRR (2023)
Keyphrases
  • error rate
  • pairwise comparisons
  • pairwise
  • classification accuracy
  • bayesian networks
  • objective function
  • machine learning methods
  • majority vote