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    » Ensemble Models for Dependency Parsing: Cheap and Good
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    NAACL
    2010
    152views Computational Linguistics» more  NAACL 2010»
    Ensemble Models for Dependency Parsing: Cheap and Good?
    13 years 2 months ago
    Ensemble Models for Dependency Parsing: Cheap and Good?
    Download  www-nlp.stanford.edu
    Previous work on dependency parsing used various kinds of combination models but a systematic analysis and comparison of these approaches is lacking. In this paper we implemented ...
    Mihai Surdeanu, Christopher D. Manning
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    EMNLP
    2007
    167views Natural Language Processing» more  EMNLP 2007»
    Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
    13 years 6 months ago
    Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
    Download  acl.ldc.upenn.edu
    We present a data-driven variant of the LR algorithm for dependency parsing, and extend it with a best-first search for probabilistic generalized LR dependency parsing. Parser act...
    Kenji Sagae, Jun-ichi Tsujii
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    ACL
    2011
    178views Computational Linguistics» more  ACL 2011»
    An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing
    12 years 8 months ago
    An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing
    Download  aclweb.org
    Gholamreza Haffari, Marzieh Razavi, Anoop Sarkar
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    EMNLP
    2007
    122views Natural Language Processing» more  EMNLP 2007»
    Single Malt or Blended? A Study in Multilingual Parser Optimization
    13 years 6 months ago
    Single Malt or Blended? A Study in Multilingual Parser Optimization
    Download  acl.ldc.upenn.edu
    We describe a two-stage optimization of the MaltParser system for the ten languages in the multilingual track of the CoNLL 2007 shared task on dependency parsing. The first stage...
    Johan Hall, Jens Nilsson, Joakim Nivre, Gülse...
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    EMNLP
    2007
    128views Natural Language Processing» more  EMNLP 2007»
    Phrase Reordering Model Integrating Syntactic Knowledge for SMT
    13 years 6 months ago
    Phrase Reordering Model Integrating Syntactic Knowledge for SMT
    Download  acl.ldc.upenn.edu
    Reordering model is important for the statistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering...
    Dongdong Zhang, Mu Li, Chi-Ho Li, Ming Zhou
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