Learning and Inference in WEIGHTED LOGIC WITH APPLICATION TO NATURAL LANGUAGE PROCESSING

Learning and Inference in WEIGHTED LOGIC WITH APPLICATION TO NATURAL LANGUAGE PROCESSING (2008)

Cached

Download Links

by Aron Culotta

Citations:

BibTeX

@MISC{Culotta08learningand,
    author = {Aron Culotta},
    title = {Learning and Inference in WEIGHTED LOGIC WITH APPLICATION TO NATURAL LANGUAGE PROCESSING},
    year = {2008}
}

Bookmark

OpenURL

Abstract

Citations

1644	Equation of state calculation by fast computing machines - Metropolis, AN, et al. - 1953
1548	BConditional random fields: Probabilistic models for segmenting and labeling sequence data - Lafferty, McCallum, et al.
1081	Local Computations with Probabilities on graphical structures and their applications to expert systems (with discussion - Lauritzen, Spiegelhalter
962	Efficient induction of logic programs - Muggleton, Feng - 1990
910	Spatial interaction and the statistical analysis of lattice systems - Besag - 1974
886	Monte Carlo sampling methods using Markov chains and their applications - Hastings - 1970
767	Factor graphs and the sum-product algorithm - Kschischang, Frey, et al. - 2001
666	An introduction to hidden Markov models - Rabiner, Juang - 1986
636	A machine program for theorem proving - Davis, Logemann, et al. - 1962
599	The perceptron: A probabilistic model for information storage and organization - Rosenblatt - 1958
449	Probabilistic inference using markov chain monte carlo methods - Neal - 1971
426	D.: Markov chain Monte Carlo in practice - Gilks, Richardson, et al. - 1996
421	Learning probabilistic relational models - Friedman, Getoor, et al. - 1999
363	Markov logic networks - Richardson, Domingos - 2006
353	Training products of experts by minimizing contrastive divergence - Hinton
340	BDiscriminative training methods for hidden Markov models - Collins
312	On the limited memory BFGS method for large scale optimization - Liu, Nocedal - 1989
311	Large margin classification using the perceptron algorithm - Freund, Schapire - 1999
308	Y: Generalized belief propagation - Yedidia, Freeman, et al.
239	An analysis of first-order logics of probability - Halpern - 1990
230	Tree clustering for constraint networks - Dechter, Pearl - 1989
220	Discriminative Reranking for Natural Language Parsing - Collins - 2000
201	Improving Machine Learning Approaches to Coreference Resolution - Ng, Cardie - 2002
192	Incorporating nonlocal information into information extraction systems by gibbs sampling - Finkel, Grenager, et al. - 2005
183	Parallel Optimization Theory, Algorithm, and Applications - Censor, Zenios - 1997
181	Online passiveaggressive algorithms - Crammer, Dekel, et al. - 2006
168	Probabilistic frame-based systems - Koller, Pfeffer - 1998
139	Nonparametric belief propagation - Sudderth, Ihler, et al. - 2003
136	Learning to Parse Natural Language with Maximum Entropy Models’. Machine Learning 34:151–175 - Ratnaparkhi - 1999
132	Some Advances in Rulebased Part of Speech Tagging - Brill - 1994
130	WT: On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs - Weiss, Freeman
126	An introduction to conditional random fields for relational learning - McCallum, Sutton - 2006
119	Inference in belief networks: A procedural guide - Huang, Darwiche - 1996
114	Max-margin parsing - Taskar, Klein, et al. - 2004
110	Email as spectroscopy: Automated discovery of community structure within organizations - Tyler, Wilkinson, et al.
102	A reinforcement learning approach to job-shop scheduling - Zhang, Dietterich - 1995
101	Incremental parsing with the perceptron algorithm - Collins, Roark - 2004
99	Conditional models of identity uncertainty with application to noun coreference - McCallum, Wellner - 2004
99	BLOG: Probabilistic models with unknown objects - Milch, Marthi, et al. - 2007
96	Accurate information extraction from research papers using conditional random fields - Peng, McCallum - 2004
92	Bayesian logic programs - Kersting, Raedt - 2001
91	A linear programming formulation for global inference in natural language tasks - Roth, Yih - 2004
90	Algorithms for the maximum satisfiability problem - Hansen, Jaumard - 1990
89	First-order probabilistic inference - Poole - 2003
83	Statistical dependency analysis with support vector machines - Yamada, Matsumoto - 2003
67	Monte Carlo statistical methods. Springer Texts in Statistics - Robert, Casella - 2004
66	A two-phase exact algorithm for MAX-SAT and weighted MAX-S AT problems - Borchers, Furman - 1999
65	An Integrated, Conditional Model of Information Extraction and Coreference with Application to Citation Matching - Wellner, McCallum, et al. - 2004
63	Sound and efficient inference with probabilistic and deterministic dependencies - Poon, Domingos - 2006
60	Survey propagation: an algorithm for satisfiability. Random Struct - Braunstein, Mézard, et al. - 2005