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Parallel Algorithms for Unsupervised Tagging
We propose a new method for unsupervised tagging that finds minimal models which are then further improved by Expectation Maximization training.
Minimizing Uncertainty in Pipelines
In this paper, we consider the problem of asking the optimal set of queries to minimize the resulting output uncertainty.
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