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Conditional random field
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#	Item
101	Open Access et al. Smith 2008 Volume Add to Reading List Source URL: www.genomebiology.com Language: English Bioinformatics Logic Markov models Natural language processing Information science BioCreative Part-of-speech tagging Conditional random field Word-sense disambiguation Science Computational linguistics Linguistics
102	Structure-Perceptron Learning of a Hierarchical Log-Linear Model Long (Leo) Zhu Department of Statistics University of California, Los Angeles Yuanhao Chen Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-04-06 19:12:13 Artificial intelligence Neural networks Computational statistics Perceptron Segmentation Active appearance model Supervised learning Conditional random field Shape context Machine learning Computer vision Statistics
103	Max Margin AND/OR Graph Learning for Parsing the Human Body Long (Leo) Zhu Department of Statistics University of California, Los Angeles Yuanhao Chen Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-04-06 20:05:24 Theoretical computer science Electromagnetism Topology Connectivity Applied mathematics Electronics Segmentation-based object categorization Graphical models Conditional random field Machine learning
104	Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing Long (Leo) Zhu Department of Statistics University of California at Los Angeles Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-06-10 16:49:54 Artificial intelligence Graphical models Statistical models Bioinformatics Constellation model Expectation–maximization algorithm Conditional random field Bayesian network Supervised learning Statistics Machine learning Probability and statistics
105	Recursive Segmentation and Recognition Templates for 2D Parsing Long (Leo) Zhu CSAIL MIT Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-10-13 13:50:19 Learning Perceptron Pattern recognition Segmentation Conditional random field Margin classifier Statistical classification Natural language processing Parsing Machine learning Statistics Artificial intelligence
106	CLASSIFICATION AND RECOGNITION WITH DIRECT SEGMENT MODELS Geoffrey Zweig Microsoft Research ABSTRACT Segment based direct models have recently been used to improve the output of existing state-of-the Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-01-17 14:29:12 Machine learning Computational linguistics Statistical models Graphical models Speech recognition N-gram Generative model Conditional random field Segmentation Science Statistics Probability and statistics
107	Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling Feng Jiao University of Waterloo Abstract We present a new semi-supervised training Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-12-28 15:24:48 Statistical theory Estimation theory Conditional random field Theoretical computer science Supervised learning Kullback–Leibler divergence Semi-supervised learning Expectation–maximization algorithm Conditional entropy Statistics Machine learning Information theory
108	Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs Nguyen Viet Cuong, Muthu Kumar Chandrasekaran, Min-Yen Kan, Wee Sun Lee∗ Department of Computer Science, National Add to Reading List Source URL: aye.comp.nus.edu.sg Language: English - Date: 2015-04-23 05:59:28 Artificial intelligence Information extraction Applied mathematics Sequence labeling Parsing Learning Machine learning Conditional random field Theoretical computer science
109	Online Large-Margin Training of Dependency Parsers Ryan McDonald Koby Crammer Fernando Pereira Department of Computer and Information Science University of Pennsylvania Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-06-15 02:43:30 Computational linguistics Corpus linguistics Formal languages Parsing Treebank Chart parser Conditional random field Context-free grammar Perceptron Linguistics Natural language processing Compiler construction
110	ParsCit: An open-source CRF reference string parsing package Isaac G. Councill∗ , C. Lee Giles∗, Min-Yen Kan† ∗ College of Information Sciences & Technology The Pennsylvania State University Add to Reading List Source URL: aye.comp.nus.edu.sg Language: English - Date: 2010-07-06 02:40:58 Formal languages Bibliography N-gram Speech recognition Conditional random field Parsing Author citation String Citation Science Information science Library science

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