Resources & Methods

Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NeurIPS 2009 Modeling Social Annotation Data with Content Relevance using a Topic Model NeurIPS 2009 Polynomial Semantic Indexing NeurIPS 2009 Reading Tea Leaves: How Humans Interpret Topic Models NeurIPS 2009 Replicated Softmax: an Undirected Topic Model NeurIPS 2009 Streaming Pointwise Mutual Information NeurIPS 2009 Asynchronous Distributed Learning of Topic Models NeurIPS 2008 Correlated Bigram LSA for Unsupervised Language Model Adaptation NeurIPS 2008 Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NeurIPS 2008 Robustness and Generalization of Role Sets: PropBank vs. VerbNet ACL 2008 Unsupervised Learning of Visual Sense Models for Polysemous Words NeurIPS 2008 Discriminative Log-Linear Grammars with Latent Variables NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NeurIPS 2007 Supervised Topic Models NeurIPS 2007 The Locally Weighted Bag of Words Framework for Document Representation JMLR 2007 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 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NeurIPS 2006 A General Framework for Distributional Similarity EMNLP 2003 Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming JMLR 2003