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    » A Pipeline Framework for Dependency Parsing
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    EMNLP
    2007
    92views Natural Language Processing» more  EMNLP 2007»
    Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines
    13 years 6 months ago
    Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines
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    Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
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    ACL
    2009
    151views Computational Linguistics» more  ACL 2009»
    Sentence diagram generation using dependency parsing
    13 years 3 months ago
    Sentence diagram generation using dependency parsing
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    Dependency parsers show syntactic relations between words using a directed graph, but comparing dependency parsers is difficult because of differences in theoretical models. We de...
    Elijah Mayfield
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    ACL
    1989
    114views Computational Linguistics» more  ACL 1989»
    The Structure of Shared Forests in Ambiguous Parsing
    13 years 6 months ago
    The Structure of Shared Forests in Ambiguous Parsing
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    The Context-Free backbone of some natural language analyzers produces all possible CF parses as some kind of shared forest, from which a single tree is to be chosen by a disambigu...
    Sylvie Billot, Bernard Lang
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    VIS
    2007
    IEEE
    149views Visualization» more  VIS 2007»
    Time Dependent Processing in a Parallel Pipeline Architecture
    14 years 6 months ago
    Time Dependent Processing in a Parallel Pipeline Architecture
    Download  www.paraview.org
    Pipeline architectures provide a versatile and efficient mechanism for constructing visualizations, and they have been implemented in numerous libraries and applications over the p...
    John Biddiscombe, Berk Geveci, Ken Martin, Kenn...
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    EMNLP
    2009
    111views Natural Language Processing» more  EMNLP 2009»
    An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing
    13 years 3 months ago
    An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing
    Download  people.csail.mit.edu
    This paper describes an empirical study of high-performance dependency parsers based on a semi-supervised learning approach. We describe an extension of semisupervised structured ...
    Jun Suzuki, Hideki Isozaki, Xavier Carreras, Micha...
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