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A popular approach for large scale data annotation tasks is crowdsourcing, wherein each data point is labeled by multiple noisy annotators.
Maximum likelihood estimation of observer error-rates using the EM algorithm
A.P. Dawid and A.M. Skene · 1979
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Inferring ground truth from subjective labelling of venus images
P. Smyth, U. Fayyad, M. Burl, P. Perona, and P. Baldi · 1995
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A simple approach to ordinal classification
E. Frank and M. Hall · 2001
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Variational Algorithms for Approximate Bayesian Inference
M.J. Beal · 2003
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Gaussian processes for ordinal regression
W. Chu and Z. Ghahramani · 2005
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Variational bayesian multinomial probit regression with gaussian process priors
M. Girolami and S. Rogers · 2006
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The rise of crowdsourcing
J. Howe · 2006
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Multilevel Bayesian models of categorical data annotation
B. Carpenter · 2008
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Utility data annotation with amazon mechanical turk
A. Sorokin and D. Forsyth · 2008
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Cheap and fast—but is it good?: Evaluating non-expert annotations for natural language tasks
R. Snow, B. O’Connor, D. Jurafsky, and A.Y. Ng · 2008
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Learning to rank for information retrieval
T.Y. Liu · 2009
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Supervised learning from multiple experts: Whom to trust when everyone lies a bit
V.C. Raykar, S. Yu, L.H. Zhao, A. Jerebko, C. Florin, G.H. Valadez, L. Bogoni, and L. Moy · 2009
Cited alongside, same era.
Whose vote should count more: Optimal integration of labels from labelers of unknown expertise
J. Whitehill, P. Ruvolo, T. Wu, J. Bergsma, and J. Movellan · 2009
Semi-parametric analysis of multi-rater data
S. Rogers, M. Girolami, and T. Polajnar · 2010
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Learning from crowds
V.C. Raykar, S. Yu, L.H. Zhao, G.H. Valadez, C. Florin, L. Bogoni, and L. Moy · 2010
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The multidimensional wisdom of crowds
P. Welinder, S. Branson, S. Belongie, and P. Perona · 2010
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Modeling annotator expertise: Learning when everybody knows a bit of something
Y. Yan, R. Rosales, G. Fung, M. Schmidt, G. Hermosillo, L. Bogoni, L. Moy, and J. Dy · 2010
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Iterative learning for reliable crowdsourcing systems
D.R. Karger, S. Oh, and D. Shah · 2011
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Annotation models for crowdsourced ordinal data
V.C. Raykar and S. Yu · 2011
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Cited alongside, same era.
Overview of the TREC 2010 Relevance Feedback Track (Notebook)
C. Buckley, M. Matthew Lease, and M.D. Smucker · 2010
Cited alongside, same era.
How To Grade a Test Without Knowing the Answers—A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Y. Bachrach, T. Graepel, T. Minka, and J. Guiver · 2012
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