Here we use them for supervised text classification.
we use adaptor grammars (Johnson et al., 2006), a formalism for nonparametric Bayesian modeling that has recently proven useful in unsupervised modeling of phonemes (Johnson, 2008), grammar induction (Cohen et al., 2010), and named entity structure learning (Johnson, 2010), to make supervised naïve Bayes classification nonparametric in order to improve perspective modeling.