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Statistical natural language processing
Results: 1681

#	Item
191	VELDA: Relating an Image Tweet’s Text and Images Tao Chen1 Hany M. SalahEldeen2 Xiangnan He1 Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-11-28 19:37:32 Latent Dirichlet allocation World Wide Web Topic model Twitter Image retrieval Information retrieval Correlation and dependence Microblogging Statistical natural language processing Statistics Artificial intelligence
192	Improving on Recall Errors for Coreference Resolution Claire Cardie Department of Computer Science Cornell University Add to Reading List Source URL: www.akbc.ws Language: English - Date: 2015-04-02 16:06:46 Parts of speech Semantics Coreference Statistical natural language processing Anaphora Precision and recall Recall F1 score Antecedent Linguistics Science Statistics
193	Unsupervised Learning of Visual Taxonomies Evgeniy Bart Caltech Pasadena, CAIan Porteous Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2009-08-26 01:06:20 Statistical natural language processing Statistical models Computer vision Object recognition Latent Dirichlet allocation One-shot learning Mixture model Dirichlet process Graphical model Statistics Artificial intelligence Machine learning
194	Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation James Foulds Levi Boyles Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-06-25 05:58:01 Expectation–maximization algorithm Variational Bayesian methods Topic model Algorithm Gibbs sampling Natural language processing Dirichlet process Mathematical optimization Dynamic topic model Statistics Statistical natural language processing Latent Dirichlet allocation
195	Weakly supervised named entity classification Edouard Grave EECS Department UC Berkeley Add to Reading List Source URL: www.akbc.ws Language: English - Date: 2015-04-02 16:06:46 Statistical classification Learning Natural language processing Semi-supervised learning Supervised learning Information extraction Support vector machine Linear classifier Entity-relationship model Machine learning Statistics Artificial intelligence
196	Deterministic Latent Variable Models and their Pitfalls Max Welling∗ Chaitanya Chemudugunta Nathan Sutter Bren School of Information and Computer Science University of California, Irvine Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-04-16 00:56:41 Information theory Statistical natural language processing Categorical data Probabilistic latent semantic analysis Expectation–maximization algorithm Perplexity Entropy Kullback–Leibler divergence Likelihood function Statistics Estimation theory Statistical theory
197	litsift: Automated Text Categorization in Bibliographic Search Lukas C. Faulstich Peter F. Stadler Add to Reading List Source URL: www.bioinf.uni-leipzig.de Language: English - Date: 2003-09-18 06:27:59 Statistical classification Knowledge Natural language processing Data mining Faulstich Relational database management systems PubMed Bioinformatics Document classification Statistics Science Formal sciences
198	Memory Bounded Inference in Topic Models Ryan Gomes GOMES @ VISION . CALTECH . EDU Dept. of Computation and Neural Systems, California Institute of Technology, Pasadena, CAUSA Max Welling Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-09-12 18:11:33 Estimation theory Expectation–maximization algorithm Missing data Mixture model Latent Dirichlet allocation Dirichlet process Time complexity Calculus of variations Statistics Theoretical computer science Statistical natural language processing
199	Fast Collapsed Gibbs Sampling For Latent Dirichlet Allocation Ian Porteous David Newman Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-06-20 08:39:24 Dirichlet process Linear discriminant analysis Mixture model Topic model Speedup Gibbs sampling Sampling Statistics Statistical natural language processing Latent Dirichlet allocation
200	How Good is 85%? A Survey Tool to Connect Classifier Evaluation to Acceptability of Accuracy Matthew Kay Computer Science & Engineering \| dub, University of Washington Add to Reading List Source URL: www.mjskay.com Language: English - Date: 2015-04-25 22:02:34 Statistical classification Natural language processing Biostatistics Accuracy and precision F1 score Recommender system Gain Classifier Precision and recall Statistics Information retrieval Machine learning

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