Understanding

Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013 Lexical and Hierarchical Topic Regression NeurIPS 2013 Identifiability and Unmixing of Latent Parse Trees NeurIPS 2012 Learned Prioritization for Trading Off Accuracy and Speed NeurIPS 2012 MAP Inference in Chains using Column Generation NeurIPS 2012 *SEM 2012 Shared Task: Resolving the Scope and Focus of Negation SemEval 2012 Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs NeurIPS 2012 Deep Learning for Efficient Discriminative Parsing AISTATS 2011 Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection NeurIPS 2011 Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning JMLR 2011 Multi-View Learning of Word Embeddings via CCA NeurIPS 2011 Appropriately Handled Prosodic Breaks Help PCFG Parsing NAACL 2010 Automatically Producing Plot Unit Representations for Narrative Text EMNLP 2010 Discriminative Topic Segmentation of Text and Speech AISTATS 2010 Learning Word-Class Lattices for Definition and Hypernym Extraction ACL 2010 Sphere Embedding: An Application to Part-of-Speech Induction NeurIPS 2010 Synergies in learning words and their referents NeurIPS 2010 Why are some word orders more common than others? A uniform information density account NeurIPS 2010 Conditional Random Fields with High-Order Features for Sequence Labeling NeurIPS 2009 Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NeurIPS 2009 Posterior vs Parameter Sparsity in Latent Variable Models NeurIPS 2009 Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NeurIPS 2009 Semi-Supervised Training for the Averaged Perceptron POS Tagger EACL 2009 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 Magic Moments for Structured Output Prediction JMLR 2008