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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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    EMNLP
    2004
    149views Natural Language Processing» more  EMNLP 2004»
    Max-Margin Parsing
    13 years 11 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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    ACL
    2012
    253views Computational Linguistics» more  ACL 2012»
    Semantic Parsing with Bayesian Tree Transducers
    12 years 7 days ago
    Semantic Parsing with Bayesian Tree Transducers
    Download  homepages.inf.ed.ac.uk
    Many semantic parsing models use tree transformations to map between natural language and meaning representation. However, while tree transformations are central to several state-...
    Bevan K. Jones, Mark Johnson, Sharon Goldwater
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    ACL
    2007
    120views Computational Linguistics» more  ACL 2007»
    A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation
    13 years 11 months ago
    A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation
    Download  www.mt-archive.info
    Inspired by previous preprocessing approaches to SMT, this paper proposes a novel, probabilistic approach to reordering which combines the merits of syntax and phrase-based SMT. G...
    Chi-Ho Li, Minghui Li, Dongdong Zhang, Mu Li, Ming...
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    ACL
    1998
    74views Computational Linguistics» more  ACL 1998»
    A Probabilistic Corpus-Driven Model for Lexical-Functional Analysis
    13 years 11 months ago
    A Probabilistic Corpus-Driven Model for Lexical-Functional Analysis
    Download  www.aclweb.org
    Wc develop a l)ata-Oricntcd Parsing (DOP) model based on the syntactic representations of Lexicalf;unctional Grammar (LFG). We start by summarizing the original DOP model for tree...
    Rens Bod, Ronald M. Kaplan
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