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Start Over Resource Type Paper Collection UNT Scholarly Works Degree Department Computer Science and Engineering Year 2017 Month September

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Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data (open access)

Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data

This paper presents an aggregation approach that learns a regression model from crowdsourced annotations to predict aggregated labels for instances that have no expert adjudications.
Date: September 2017
Creator: Nielsen, Rodney D. & Parde, Natalie
System: The UNT Digital Library