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Context model
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#	Item
51	POS Tagging for German: How Important is the Right Context? ¨ Steliana Ivanova, Sandra Kubler Umbria Inc., Boulder, CO, Indiana University Bloomington, IN, USA , Abstract Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2008-07-22 10:48:06 Markov models Computational linguistics Corpus linguistics Natural language processing Part-of-speech tagging Word-sense disambiguation Tagger Part of speech Tag Hidden Markov model Brill tagger Trigram tagger
52	Preliminaries Tensorial strength Morita theory in enriched context Morita theory in enriched context Kruna Segrt Add to Reading List Source URL: www.math.uni-bonn.de Language: English - Date: 2010-06-26 06:49:53 Homotopy theory Category theory Adjoint functors Model category Monad Fibration Morita equivalence Weak equivalence
53	Structured Output Layer with Auxiliary Targets for Context-Dependent Acoustic Modelling Pawel Swietojanski, Peter Bell, Steve Renals The Centre for Speech Technology Research, University of Edinburgh, United Kingdom {p.s Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Artificial neural networks Computational neuroscience Computational statistics Automatic identification and data capture Computer accessibility Speech recognition Language model Convolutional neural network Perceptron Recurrent neural network Machine learning Deep learning
54	Leveraging Social Context for Modeling Topic Evolution Janani Kalyanam Amin Mantrach Univ. of California, San Diego Add to Reading List Source URL: acsweb.ucsd.edu Language: English - Date: 2015-06-08 14:56:53 Statistical natural language processing Hashtag Latent Dirichlet allocation Topic model Dynamic topic model Twitter Probabilistic latent semantic analysis Deep learning Non-negative matrix factorization Topic and comment
55	It Depends Carsten Keßler Institute for Geoinformatics, University of M¨ unster, Germany Add to Reading List Source URL: carsten.io Language: English - Date: 2013-09-07 23:22:11 Statistical distance Cognition Computational linguistics Semantic similarity Similarity Conceptual Spaces Context model Information Object Process Methodology Semantic memory
56	A Content-Linking-Context Model for “Notice-and-takedown” Procedures Pei Zhang Sophie Stalla-Bourdillon Lester Gilbert Add to Reading List Source URL: takedownproject.org Language: English - Date: 2016-04-17 23:23:30 105th United States Congress United States File sharing E-commerce Notice and take down Online Copyright Infringement Liability Limitation Act Copyright infringement Copyright law of the United States Digital Millennium Copyright Act Perfect 10 Inc. v. Amazon.com Inc. Copyright Wolk v. Kodak Imaging Network Inc.
57	Decoupling the Memory Bus from Context-Free Grammar in Smalltalk Ike Antkaretoo International Institute of Technology United Slates of Earth Add to Reading List Source URL: membres-lig.imag.fr Language: English - Date: 2014-01-09 04:24:29 Actor model Concurrent computing Dwight D. Eisenhower
58	Investigating Context Parameters in Technology Term Recognition Behrang QasemiZadeh∗† Insight Centre of Data Analytics National University of Ireland, Galway † Department of Computer Science and Mathematics Add to Reading List Source URL: pars.ie Language: English - Date: 2015-04-03 14:11:11 Vectors Computational linguistics Abstract algebra Linear algebra Vector calculus Vector space model Euclidean vector K-nearest neighbors algorithm Vector space Distributional semantics Frame Cosine similarity
59	A Place and Event Based Context Model for Environmental Monitoring Kate Beard1 and Melinda Neville2 1 School of Computing and Information Science, University of Maine, Orono, Maine Add to Reading List Source URL: ncgia.buffalo.edu Language: English - Date: 2016-05-17 15:26:03 Information science Open Geospatial Consortium Semantic Web Knowledge representation Technical communication GeoSPARQL Geographic information system Ontology Spatial relation Spacetime Observations and Measurements Oracle Spatial and Graph
60	Context-aware Classification for Incremental Scene Interpretation Arne Kreutzmann Kasim Terzi´c Add to Reading List Source URL: w3.ualg.pt Language: English - Date: 2013-01-17 14:55:25 Statistical models Bayesian network Pattern recognition Hierarchy Graphical model Decision tree learning

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