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  • Quick Start
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  • Clusters as Knowledge Areas of Annotators
  • Classifiers as Annotators
  • Estimate Sample Difficulty to Simulate Annotators
  • Annotators with Dynamic Labelling Performance
  • Active Learning with Multiple Types of Annotators
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