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    EMNLP
    2006
    83views Natural Language Processing» more  EMNLP 2006»
    Extremely Lexicalized Models for Accurate and Fast HPSG Parsing
    13 years 10 months ago
    Extremely Lexicalized Models for Accurate and Fast HPSG Parsing
    Download  www-tsujii.is.s.u-tokyo.ac.jp
    This paper describes an extremely lexicalized probabilistic model for fast and accurate HPSG parsing. In this model, the probabilities of parse trees are defined with only the pro...
    Takashi Ninomiya, Takuya Matsuzaki, Yoshimasa Tsur...
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    EMNLP
    2006
    130views Natural Language Processing» more  EMNLP 2006»
    Loss Minimization in Parse Reranking
    13 years 10 months ago
    Loss Minimization in Parse Reranking
    Download  homepages.inf.ed.ac.uk
    We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
    Ivan Titov, James Henderson
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    AAAI
    1994
    167views Intelligent Agents» more  AAAI 1994»
    L* Parsing: A General Framework for Syntactic Analysis of Natural Language
    13 years 10 months ago
    L* Parsing: A General Framework for Syntactic Analysis of Natural Language
    Download  www.aaai.org
    We describe a new algorithm for table-driven parsing with context-free grammars designed to support efficient syntactic analysis of natural language. The algorithm provides a gene...
    Eric K. Jones, Linton M. Miller
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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 10 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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    EACL
    1993
    ACL Anthology
    116views Natural Language Processing» more  EACL 1993»
    A Probabilistic Context-free Grammar for Disambiguation in Morphological Parsing
    13 years 10 months ago
    A Probabilistic Context-free Grammar for Disambiguation in Morphological Parsing
    Download  acl.ldc.upenn.edu
    One of the major problems one is faced with when decomposing words into their constituent parts is ambiguity: the generation of multiple analyses for one input word, many of which...
    Josée S. Heemskerk
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