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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 3 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
    2007
    162views Natural Language Processing» more  EMNLP 2007»
    Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser
    13 years 11 months ago
    Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser
    Download  acl.ldc.upenn.edu
    This paper describes a probabilistic model for coordination disambiguation integrated into syntactic and case structure analysis. Our model probabilistically assesses the parallel...
    Daisuke Kawahara, Sadao Kurohashi
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    ACL
    2006
    94views Computational Linguistics» more  ACL 2006»
    Integrating Syntactic Priming into an Incremental Probabilistic Parser, with an Application to Psycholinguistic Modeling
    13 years 11 months ago
    Integrating Syntactic Priming into an Incremental Probabilistic Parser, with an Application to Psycholinguistic Modeling
    Download  homepages.inf.ed.ac.uk
    The psycholinguistic literature provides evidence for syntactic priming, i.e., the tendency to repeat structures. This paper describes a method for incorporating priming into an i...
    Amit Dubey, Frank Keller, Patrick Sturt
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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 11 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 11 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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