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Michael Collins

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University of Pennsylvania

Kernel Approximation Methods for Speech Recognition

Jan 13, 2017
Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha

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Globally Normalized Transition-Based Neural Networks

Jun 08, 2016
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins

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A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition

Mar 18, 2016
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurelien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

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Structured Training for Neural Network Transition-Based Parsing

Jun 19, 2015
David Weiss, Chris Alberti, Michael Collins, Slav Petrov

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How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets

Jun 17, 2015
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

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Learning Dictionaries for Named Entity Recognition using Minimal Supervision

Apr 24, 2015
Arvind Neelakantan, Michael Collins

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A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing

Jan 23, 2014
Alexander M. Rush, Michael Collins

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Case-Factor Diagrams for Structured Probabilistic Modeling

Jul 11, 2012
David A. McAllester, Michael Collins, Fernando Pereira

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Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars

Jul 04, 2012
Luke S. Zettlemoyer, Michael Collins

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Three Generative, Lexicalised Models for Statistical Parsing

Jun 17, 1997
Michael Collins

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