Back to Search Start Over

TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing Multiple Ratings

Authors :
Liu, Chao
Wang, Yi-Min
Publication Year :
2012

Abstract

This paper revisits the problem of analyzing multiple ratings given by different judges. Different from previous work that focuses on distilling the true labels from noisy crowdsourcing ratings, we emphasize gaining diagnostic insights into our in-house well-trained judges. We generalize the well-known DawidSkene model (Dawid & Skene, 1979) to a spectrum of probabilistic models under the same "TrueLabel + Confusion" paradigm, and show that our proposed hierarchical Bayesian model, called HybridConfusion, consistently outperforms DawidSkene on both synthetic and real-world data sets.<br />Comment: ICML2012

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1206.4606
Document Type :
Working Paper