Language Modeling

A Scalable Hierarchical Distributed Language Model NeurIPS 2008 Correlated Bigram LSA for Unsupervised Language Model Adaptation NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 Bayesian Co-Training NeurIPS 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Discriminative Log-Linear Grammars with Latent Variables NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Supervised Topic Models NeurIPS 2007 The Infinite Markov Model NeurIPS 2007 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NeurIPS 2006 Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models NeurIPS 2006 Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NeurIPS 2006 Scalable Discriminative Learning for Natural Language Parsing and Translation NeurIPS 2006 Concentration Bounds for Unigram Language Models JMLR 2005 Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results JMLR 2003 Latent Dirichlet Allocation JMLR 2003