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Learning Sparser Perceptron Models Yoav Goldberg and Michael Elhadad Ben Gurion University of the Negev Department of Computer Science POB 653 Be’er Sheva, 84105, Israel {yoavg,elhadad}@cs.bgu.ac.il
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Document Date: 2011-04-13 18:09:13

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City

Morristown / /

Company

Other Parsing Technologies / /

Country

United States / /

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Facility

Michael Elhadad Ben Gurion University / University of Pennsylvania / /

IndustryTerm

naturallanguage-processing / perceptron algorithm / Sparse online learning / perceptron learning algorithm / averaged-perceptron learning algorithm / sparser solutions / Online large-margin training / http /

Organization

Michael Elhadad Ben Gurion University / Negev Department of Computer Science POB / University of Pennsylvania / Association for Computational Linguistics / /

Person

Giorgio Satta / Michael Elhadad / Yoav Freund / S. Buchholz / Yoav Goldberg / Aravind K. Joshi / Tong Zhang / Libin Shen / John Langford / Koby Crammer / Fred Damerau / Daniel Marcu / David Johnson / Ryan McDonald / Fernando Pereira / Erik F. Tjong Kim Sang / Mark Dredze / Robert E. Schapire / Sha / Hal Daum / Michael Elhadad Ben / /

Position

probabilistic model for information storage / /

ProvinceOrState

Pennsylvania / /

PublishedMedium

Computational Linguistics / Machine Learning / The Journal of Machine Learning Research / /

Technology

classic algorithm / learning algorithm / confidence-weighted learning algorithm / natural language processing / Spanning Tree Algorithms / modified perceptron algorithm / Parameter Averaging The perceptron algorithm / cubictime parsing algorithms / il Abstract The averaged-perceptron learning algorithm / Machine Learning / averaged-perceptron algorithm / perceptron algorithm / Eisner algorithm / perceptron algorithms / perceptron learning algorithm / /

URL

http /

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