Deep classification in large-scale text hierarchies

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Recursive regularization for large-scale classification with hierarchical and graphical dependencies (2013, background): “In [34], a data-driven pruning strategy is proposed for reducing the size of the original hierarchy.”
Bayesian models for Large-scale Hierarchical Classification (2012, methodology): “For instance, in [22, 1], the output of the top-level classifiers was used as additional features for the instance at the secondlevel classifiers.”