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    » Intricacies of Collins' Parsing Model
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    EACL
    2003
    ACL Anthology
    129views Natural Language Processing» more  EACL 2003»
    Topological Parsing
    13 years 9 months ago
    Topological Parsing
    Download  www.cs.toronto.edu
    We present a new grammar formalism for parsing with freer word-order languages, motivated by recent linguistic research in German and the Slavic languages. Unlike CFGs, these gram...
    Gerald Penn, Mohammad Haji-Abdolhosseini
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    ICML
    2002
    IEEE
    183views Machine Learning» more  ICML 2002»
    Kernels for Semi-Structured Data
    14 years 8 months ago
    Kernels for Semi-Structured Data
    Download  www.geocities.jp
    Semi-structured data such as XML and HTML is attracting considerable attention. It is important to develop various kinds of data mining techniques that can handle semistructured d...
    Hisashi Kashima, Teruo Koyanagi
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    UAI
    2004
    106views Artificial Intelligence» more  UAI 2004»
    Case-Factor Diagrams for Structured Probabilistic Modeling
    13 years 9 months ago
    Case-Factor Diagrams for Structured Probabilistic Modeling
    Download  people.csail.mit.edu
    We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Bo...
    David A. McAllester, Michael Collins, Fernando Per...
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    JMLR
    2008
    230views more  JMLR 2008»
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    13 years 7 months ago
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    Download  www.stat.berkeley.edu
    Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
    Michael Collins, Amir Globerson, Terry Koo, Xavier...
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