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Semantic analysis
Results: 942

#	Item
681	MODELING INTERACTIONS FROM EMAIL COMMUNICATION Dong Zhang1 , Daniel Gatica-Perez1 , Deb Roy2 and Samy Bengio1 1 IDIAP Research Institute, Swiss Federal Institute of Technology, Lausanne, Switzerland 2 Add to Reading List Source URL: www.media.mit.edu Language: English - Date: 2006-03-27 17:15:08 Statistical natural language processing Categorical data Probabilistic latent semantic analysis Estimation theory Markov chain Hidden Markov model Expectation–maximization algorithm Matrix Statistics Email Markov models
682	Vector-based Models of Semantic Composition Jeff Mitchell and Mirella Lapata School of Informatics, University of Edinburgh 2 Buccleuch Place, Edinburgh EH8 9LW, UK [removed], [removed] Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-06-15 03:18:55 Vectors Information retrieval Natural language processing Abstract algebra Semantic similarity Latent semantic analysis Semantic memory Vector space model Vector space Algebra Mathematics Linear algebra
683	A Markovian approach to distributional semantics with application to semantic compositionality ´ Edouard Grave EECS Department Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2014-06-27 05:30:12 Semantics Information retrieval Lexical semantics Natural language processing Latent semantic analysis Word-sense disambiguation Vector space model Part-of-speech tagging Distributional hypothesis Linguistics Science Computational linguistics
684	Deconstructing merge and move to make room for adjunction Tim Hunter Abstract. This paper explores the syntactic and semantic properties of movement and adjunction, and proposes a new analysis of these two phenomena acco Add to Reading List Source URL: www.tc.umn.edu Language: English - Date: 2013-08-28 10:43:53 Noam Chomsky Minimalist program Adjunction Adjunct X-bar theory Wh-movement Adjoint functors Theta role Ellipsis Linguistics Syntax Generative linguistics
685	Envisioning Intelligent Information Technologies through the Prism of Web Intelligence Users and businesses alike get to turn their raw data into new science, technology, and money. Add to Reading List Source URL: www.kis-lab.com Language: English - Date: 2012-01-19 11:38:36 Data management Data analysis Data mining Semantic Web Software agent Web mining Intelligent agent Business intelligence Ontology Science Statistics Artificial intelligence
686	Computing Semantics of Preference with a Semantic Cognitive Map of Natural Language: Application to Mood Sensing from Text Alexei V. Samsonovich and Giorgio A. Ascoli Krasnow Institute for Advanced Study, George Mason Un Add to Reading List Source URL: binf.gmu.edu Language: English - Date: 2008-05-06 07:04:32 Linguistics Multidimensional scaling Semantics Latent semantic analysis Nonlinear dimensionality reduction Opposite Isomap Cognitive science Language Statistics Multivariate statistics Science
687	SUMMARY 1. Introduction 1.1. Generalities 1.2. Interests of this document 2. Semantic analysis Add to Reading List Source URL: www.customs.gov.lk Language: English - Date: 1999-04-11 22:13:32 Computing Software Email World Wide Web Declaration Form
688	doi:[removed]FEJF1999.12.motif AUTOMATED MOTIF IDENTIFICATION IN FOLKLORE TEXT CORPORA Vilmos Voigt, Michael Preminger, László Ládi, Sándor Darányi Add to Reading List Source URL: www.folklore.ee Language: English - Date: 2014-02-06 05:16:16 Folklore Search engine indexing MATLAB Latent semantic analysis Latent semantic indexing Folkloristics Keyword Semantics Darányi Information science Information retrieval Science
689	BSC901 – RB – OG Behavior Research Methods 2009, ?? (?), ???-??? doi:[removed]BRM. More data trumps smarter algorithms: Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2009-03-23 10:58:00 Natural language processing Information science Semantics Information retrieval Semantic similarity Latent semantic analysis Semantic memory Word-sense disambiguation Latent semantic indexing Computational linguistics Linguistics Science
690	review articles doi:[removed][removed]Surveying a suite of algorithms that offer a solution to managing large document archives. by David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2012-06-05 15:28:29 Topic model Latent Dirichlet allocation Dynamic topic model Probabilistic latent semantic analysis Document-term matrix Mixture model Pachinko allocation Information retrieval Dirichlet process Statistics Statistical natural language processing Probability and statistics

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