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    ACL
    2006
    126views Computational Linguistics» more  ACL 2006»
    Hybrid Parsing: Using Probabilistic Models as Predictors for a Symbolic Parser
    13 years 9 months ago
    Hybrid Parsing: Using Probabilistic Models as Predictors for a Symbolic Parser
    Download  nats-www.informatik.uni-hamburg.de
    In this paper we investigate the benefit of stochastic predictor components for the parsing quality which can be obtained with a rule-based dependency grammar. By including a chun...
    Kilian A. Foth, Wolfgang Menzel
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    ACL
    2006
    140views Computational Linguistics» more  ACL 2006»
    Guiding a Constraint Dependency Parser with Supertags
    13 years 9 months ago
    Guiding a Constraint Dependency Parser with Supertags
    Download  nats-www.informatik.uni-hamburg.de
    We investigate the utility of supertag information for guiding an existing dependency parser of German. Using weighted constraints to integrate the additionally available informat...
    Kilian A. Foth, Tomas By, Wolfgang Menzel
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    ACL
    2003
    112views Computational Linguistics» more  ACL 2003»
    Parsing with Generative Models of Predicate-Argument Structure
    13 years 9 months ago
    Parsing with Generative Models of Predicate-Argument Structure
    Download  www.aclweb.org
    The model used by the CCG parser of Hockenmaier and Steedman (2002b) would fail to capture the correct bilexical dependencies in a language with freer word order, such as Dutch. T...
    Julia Hockenmaier
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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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    EMNLP
    2006
    133views Natural Language Processing» more  EMNLP 2006»
    Incremental Integer Linear Programming for Non-projective Dependency Parsing
    13 years 9 months ago
    Incremental Integer Linear Programming for Non-projective Dependency Parsing
    Download  acl.ldc.upenn.edu
    Integer Linear Programming has recently been used for decoding in a number of probabilistic models in order to enforce global constraints. However, in certain applications, such a...
    Sebastian Riedel, James Clarke
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