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Solving the Problem of Cascading Errors:Approximate Bayesian Inference for Linguistic Annotation Pipelines
Problem of Cascading Errors Approximate Bayesian Inference Linguistic Annotation Pipelines
2015/6/12
The end-to-end performance of natural language processing systems for compound tasks, such as question answering and textual entailment, is often hampered by use of a greedy 1-best pipeline architectu...
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
Machine Learning (stat.ML)
2010/12/17
We propose a novel algorithm to solve the expectation propagation relaxation of Bayesian inference for continuous-variable graphical models. In contrast to most previous algorithms, our method is prov...