Natural Language Processing

Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Expectation Maximization and Posterior Constraints NeurIPS 2007 Generalizing Tree Transformations for Inductive Dependency Parsing ACL 2007 Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization JMLR 2007 HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NeurIPS 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NeurIPS 2007 Measuring Differentiability: Unmasking Pseudonymous Authors JMLR 2007 Sparse Overcomplete Latent Variable Decomposition of Counts Data NeurIPS 2007 Supervised Topic Models NeurIPS 2007 The CALO Meeting Assistant NAACL 2007 The Infinite Markov Model NeurIPS 2007 The Locally Weighted Bag of Words Framework for Document Representation JMLR 2007 Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NeurIPS 2007 Using RBMT Systems to Produce Bilingual Corpus for SMT EMNLP 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 Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NeurIPS 2006 Dirichlet-Enhanced Spam Filtering based on Biased Samples NeurIPS 2006 Improving QA Accuracy by Question Inversion ACL 2006 Isotonic Conditional Random Fields and Local Sentiment Flow NeurIPS 2006 Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NeurIPS 2006 Multi-dynamic Bayesian Networks NeurIPS 2006 Online Classification for Complex Problems Using Simultaneous Projections NeurIPS 2006 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NeurIPS 2006 Scalable Discriminative Learning for Natural Language Parsing and Translation NeurIPS 2006