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All publications by Christopher D. Manning
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On-the-Job Learning with Bayesian Decision Theory
Keenon Werling, Arun T. Chaganty, Percy S. Liang and Christopher D. Manning
Advances in Neural Information Processing Systems 28, 2015


Learning Distributed Representations for Structured Output Prediction
Vivek Srikumar and Christopher D. Manning
Advances in Neural Information Processing Systems 27, 2014


Global Belief Recursive Neural Networks
Romain Paulus, Richard Socher and Christopher D. Manning
Advances in Neural Information Processing Systems 27, 2014


Simple MAP Inference via Low-Rank Relaxations
Roy Frostig, Sida Wang, Percy S. Liang and Christopher D. Manning
Advances in Neural Information Processing Systems 27, 2014


Reasoning With Neural Tensor Networks for Knowledge Base Completion
Richard Socher, Danqi Chen, Christopher D. Manning and Andrew Ng
Advances in Neural Information Processing Systems 26, 2013


Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Christopher D. Manning and Andrew Ng
Advances in Neural Information Processing Systems 26, 2013


Convolutional-Recursive Deep Learning for 3D Object Classification
Richard Socher, Brody Huval, Bharath Bath, Christopher D. Manning and Andrew Y. Ng
Advances in Neural Information Processing Systems 25, 2012


Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Richard Socher, Eric H. Huang, Jeffrey Pennin, Christopher D. Manning and Andrew Y. Ng
Advances in Neural Information Processing Systems 24, 2011


Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
Richard Socher, Andrew L. Maas and Christopher D. Manning
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
Ramesh Nallapati, Daniel A. Mcfarland and Christopher D. Manning
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning random walk models for inducing word dependency distributions
Kristina Toutanova, Christopher D. Manning and Andrew Y. Ng
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Log-Linear Models for Label Ranking
Ofer Dekel, Yoram Singer and Christopher D. Manning
Advances in Neural Information Processing Systems 16, 2003


Fast Exact Inference with a Factored Model for Natural Language Parsing
Dan Klein and Christopher D. Manning
Advances in Neural Information Processing Systems 15, 2002


Natural Language Grammar Induction Using a Constituent-Context Model
Dan Klein and Christopher D. Manning
Advances in Neural Information Processing Systems 14, 2001