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Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors David A. Smith and Jason Eisner Department of Computer Science Johns Hopkins University Balitmore, MD 21218, USA {dasmith,eisner}@jhu.edu
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Document Date: 2007-05-20 23:18:30


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File Size: 192,81 KB

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Treebank / Penn Treebank / /

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United Kingdom / /

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outside algorithm / approximate dependency parsing algorithms / inside algorithm / greedy algorithms / matrix-tree algorithm / Online learning / dot product / dynamic programming algorithm / unsupervised document clustering algorithms / /

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SET 100 / /

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Shannon / /

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National Science Foundation / National Bureau of Standards / Jason Eisner Department of Computer Science Johns Hopkins University Balitmore / /

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Noah A. Smith / David A. Smith / Mitchell / Ryan McDonald / Keith Hall / Acc / Blum / Jason Eisner / /

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editor / model / non-projective model / conditional model / /

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Galil / curves / /

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Machine Learning / /

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unsupervised document clustering algorithms / Yarowsky algorithm / 2.6 Algorithms / machine translation / bootstrapping algorithms / bootstrapping algorithm / approximate dependency parsing algorithms / dynamic programming algorithm / machine learning / EM algorithm / matrix-tree algorithm / inside algorithm / /

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