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Content Modeling Using Latent Permutations
We present a novel Bayesian topic model for learning discourse-level document structure.
Iterative Learning for Reliable Crowdsourcing Systems
Crowdsourcing systems, in which tasks are electronically distributed to numerous ``information piece-workers'', have emerged as an effective paradigm for human-powered solving of large scale problems in domains such as image classification, data entry, optical character recognition, recommendation, and proofreading.
Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems
Further, we compare our approach with a more general class of algorithms which can dynamically assign tasks.
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