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    » Probabilistic Modelling of Island-Driven Parsing
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    ACL
    2006
    144views Computational Linguistics» more  ACL 2006»
    A Best-First Probabilistic Shift-Reduce Parser
    13 years 9 months ago
    A Best-First Probabilistic Shift-Reduce Parser
    Download  www.cs.cmu.edu
    Recently proposed deterministic classifierbased parsers (Nivre and Scholz, 2004; Sagae and Lavie, 2005; Yamada and Matsumoto, 2003) offer attractive alternatives to generative sta...
    Kenji Sagae, Alon Lavie
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    IJCNLP
    2005
    Springer
    178views Natural Language Processing» more  IJCNLP 2005»
    Adapting a Probabilistic Disambiguation Model of an HPSG Parser to a New Domain
    14 years 1 months ago
    Adapting a Probabilistic Disambiguation Model of an HPSG Parser to a New Domain
    Download  www-tsujii.is.s.u-tokyo.ac.jp
    Abstract. This paper describes a method of adapting a domain-independent HPSG parser to a biomedical domain. Without modifying the grammar and the probabilistic model of the origin...
    Tadayoshi Hara, Yusuke Miyao, Jun-ichi Tsujii
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    EMNLP
    2004
    149views Natural Language Processing» more  EMNLP 2004»
    Max-Margin Parsing
    13 years 9 months ago
    Max-Margin Parsing
    Download  acl.ldc.upenn.edu
    We present a novel discriminative approach to parsing inspired by the large-margin criterion underlying support vector machines. Our formulation uses a factorization analogous to ...
    Ben Taskar, Dan Klein, Mike Collins, Daphne Koller...
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    COLING
    2008
    106views Computational Linguistics» more  COLING 2008»
    A Syntactic Time-Series Model for Parsing Fluent and Disfluent Speech
    13 years 9 months ago
    A Syntactic Time-Series Model for Parsing Fluent and Disfluent Speech
    Download  www-users.cs.umn.edu
    This paper describes an incremental approach to parsing transcribed spontaneous speech containing disfluencies with a Hierarchical Hidden Markov Model (HHMM). This model makes use...
    Tim Miller, William Schuler
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    EMNLP
    2007
    144views Natural Language Processing» more  EMNLP 2007»
    Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
    13 years 9 months ago
    Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
    Download  cui.unige.ch
    We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
    Ivan Titov, James Henderson
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