Natural Language Processing

Correlated Bigram LSA for Unsupervised Language Model Adaptation NeurIPS 2008 DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NeurIPS 2008 Global Ranking Using Continuous Conditional Random Fields NeurIPS 2008 Large Margin Taxonomy Embedding for Document Categorization NeurIPS 2008 Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NeurIPS 2008 Magic Moments for Structured Output Prediction JMLR 2008 Modeling the effects of memory on human online sentence processing with particle filters NeurIPS 2008 Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks NeurIPS 2008 Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NeurIPS 2008 Regularized Learning with Networks of Features NeurIPS 2008 Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NeurIPS 2008 Robustness and Generalization of Role Sets: PropBank vs. VerbNet ACL 2008 Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 Understanding the Value of Features for Coreference Resolution EMNLP 2008 Unsupervised Learning of Visual Sense Models for Polysemous Words NeurIPS 2008 A Bayesian Framework for Cross-Situational Word-Learning NeurIPS 2007 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 A Randomized Algorithm for Large Scale Support Vector Learning NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Discriminative Log-Linear Grammars with Latent Variables NeurIPS 2007