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    JMLR
    2010
    192views more  JMLR 2010»
    Inducing Tree-Substitution Grammars
    12 years 11 months ago
    Inducing Tree-Substitution Grammars
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    Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
    Trevor Cohn, Phil Blunsom, Sharon Goldwater
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    JMLR
    2010
    137views more  JMLR 2010»
    Covariance in Unsupervised Learning of Probabilistic Grammars
    12 years 11 months ago
    Covariance in Unsupervised Learning of Probabilistic Grammars
    Download  jmlr.csail.mit.edu
    Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
    Shay B. Cohen, Noah A. Smith
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