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Statistical natural language processing
Results: 1681

#	Item
521	KnowledgeREADER™ Integrated Customer Intelligence KnowledgeREADER is an industry-first application that brings a new age of integrated customer intelligence by combining visual text discovery and Add to Reading List Source URL: www.angoss.com Language: English - Date: 2014-05-29 09:39:51 Business intelligence Data analysis Formal sciences Business Statistical natural language processing Text analytics Analytics Data mining Sentiment analysis Natural language processing Science Statistics
522	Faster Parsing by Supertagger Adaptation Jonathan K. Kummerfeld a Jessika Roesner b Tim Dawborn a James R. Curran a∗ Stephen Clark c∗ James Haggerty a Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-07-05 10:42:37 Corpus linguistics Compiler construction Parsing Treebank LL parser Part-of-speech tagging Word-sense disambiguation SYNTAX Statistical parsing Linguistics Computational linguistics Natural language processing
523	NOMAD: A Distributed Framework for Latent Variable Models Inderjit S. Dhillon Department of Computer Science University of Texas at Austin Joint work with H.-F. Yu, C.-J. Hsieh, H. Yun, Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-12-13 17:27:34 Ordinal number Recommender system Topic model Mathematics Science Artificial intelligence Statistical natural language processing Latent Dirichlet allocation Integral transform
524	Deep Exponential Families Rajesh Ranganath Princeton University Linpeng Tang Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Statistical models Statistical natural language processing Bayesian statistics Exponentials Poisson processes Latent Dirichlet allocation Exponential family Mixture model Gamma distribution Statistics Mathematical analysis Probability and statistics
525	Documents as multiple overlapping windows into a grid of counts Alessandro Perina1 Nebojsa Jojic1 1 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:42:59 Latent Dirichlet allocation Topic model Probabilistic latent semantic analysis Expectation–maximization algorithm Logarithm Latent semantic analysis Statistics Statistical natural language processing Machine learning
526	The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2010-06-16 23:53:04 Statistical natural language processing Statistical models Statistical inference Dirichlet process Latent Dirichlet allocation Chinese restaurant process Non-parametric statistics Mixture model Bayesian network Statistics Stochastic processes Bayesian statistics
527	Predicting Legislative Roll Calls from Text Sean M. Gerrish SGERRISH @ CS . PRINCETON . EDU David M. Blei BLEI @ CS . PRINCETON . EDU Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Statistical natural language processing Natural language processing Bayesian statistics Statistical models Statistical theory Topic model Mixture model Latent Dirichlet allocation Information retrieval Statistics Science Probability and statistics
528	Combining information theoretic kernels with generative embeddings for classification Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:42:59 Statistical classification Categorical data Probabilistic latent semantic analysis Statistical natural language processing Fisher kernel Generative model Supervised learning Generative Pattern recognition Statistics Machine learning Probability and statistics
529	Relational Topic Models for Document Networks Jonathan Chang Department of Electrical Engineering Princeton University Princeton, NJ 08544 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Latent Dirichlet allocation Topic model Probabilistic latent semantic analysis Information retrieval Regression analysis Markov chain Expectation–maximization algorithm N-gram Statistics Statistical natural language processing Natural language processing
530	Connections between the Lines: Augmenting Social Networks with Text Jonathan Chang Jordan Boyd-Graber Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Science Machine learning Entity-relationship model Topic model Latent Dirichlet allocation Expectation–maximization algorithm Maximum likelihood N-gram Statistics Statistical natural language processing Estimation theory

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