Natural Language Processing

Conditional Random Fields with High-Order Features for Sequence Labeling NeurIPS 2009 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009 Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NeurIPS 2009 Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NeurIPS 2009 Distributed Algorithms for Topic Models JMLR 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NeurIPS 2009 Filtering Abstract Senses From Image Search Results NeurIPS 2009 Investigation of Question Classifier in Question Answering EMNLP 2009 Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization NeurIPS 2009 Learning to Rank by Optimizing NDCG Measure NeurIPS 2009 Modeling Social Annotation Data with Content Relevance using a Topic Model NeurIPS 2009 Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NeurIPS 2009 Polynomial Semantic Indexing NeurIPS 2009 Posterior vs Parameter Sparsity in Latent Variable Models NeurIPS 2009 Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NeurIPS 2009 Reading Tea Leaves: How Humans Interpret Topic Models NeurIPS 2009 Replicated Softmax: an Undirected Topic Model NeurIPS 2009 Rethinking LDA: Why Priors Matter NeurIPS 2009 Semi-Supervised Training for the Averaged Perceptron POS Tagger EACL 2009 Spatial Normalized Gamma Processes NeurIPS 2009 Streaming Pointwise Mutual Information NeurIPS 2009 A Scalable Hierarchical Distributed Language Model NeurIPS 2008 Asynchronous Distributed Learning of Topic Models NeurIPS 2008 Bayesian Synchronous Grammar Induction NeurIPS 2008