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Relaxed Marginal Inference and its Application to Dependency Parsing Sebastian Riedel David A. Smith Department of Computer Science University of Massachusetts, Amherst {riedel,dasmith}@cs.umass.edu
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Document Date: 2010-04-02 15:00:32

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Tightening LP / AUAI Press / Neural Information Processing Systems / BP / SRI International / Parsing Technologies / Monte Carlo / using BP / /

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United States / /

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J. Hall / Computer Science University of Massachusetts / /

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statistical natural language processing / relaxation algorithms / Online learning / relaxation algorithm / basic algorithm / correlated correspondence algorithm / bayesian networks / marginal inference algorithms / incremental relaxation algorithm / logic networks / information extraction systems / nonprojective solution / natural language processing / projective solution / /

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European Chapter / Center for Intelligent Information Retrieval / University of Massachusetts / Amherst / Dependency Parsing Sebastian Riedel David A. Smith Department / North American Chapter / Association for Computational Linguistics / /

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Giorgio Satta / Sebastian Riedel / Adnan Darwiche / David A. Smith / Ryan McDonald / Christopher Manning / James Clarke / Y. Weiss / Michael Jordan / David Sontag / T. Jaakkola / T. Meltzer / Matt Richardson / Trond Grenager / Pedro Domingos / Arthur Choi / Jenny Rose Finkel / A. Globerson / Martin Wainwright / Roy W. Tromble / Jason Eisner / Sebastian Riedel David / /

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Virginia / /

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4.2 Algorithm Algorithm / incremental relaxation algorithm / same basic algorithm / correlated correspondence algorithm / machine learning / marginal inference algorithms / natural language processing / MAP relaxation algorithms / proposed algorithm / artificial intelligence / Finite State Machine / relaxation algorithm / relaxation algorithms / DP algorithms / /

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