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    » Learning and Inference for Hierarchically Split PCFGs
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    AAAI
    2007
    123views Intelligent Agents» more  AAAI 2007»
    Learning and Inference for Hierarchically Split PCFGs
    15 years 1 months ago
    Learning and Inference for Hierarchically Split PCFGs
    Download  www.petrovi.de
    Treebank parsing can be seen as the search for an optimally refined grammar consistent with a coarse training treebank. We describe a method in which a minimal grammar is hierarc...
    Slav Petrov, Dan Klein
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    ACL
    2010
    227views Computational Linguistics» more  ACL 2010»
    PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
    14 years 9 months ago
    PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
    Download  aclweb.org
    This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...
    Mark Johnson
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    BMCBI
    2010
    118views more  BMCBI 2010»
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
    14 years 11 months ago
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
    Download  www.biomedcentral.com
    Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
    Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
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