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    COLING
    2008
    130views Computational Linguistics» more  COLING 2008»
    Learning Reliable Information for Dependency Parsing Adaptation
    14 years 11 months ago
    Learning Reliable Information for Dependency Parsing Adaptation
    Download  www.aclweb.org
    In this paper, we focus on the adaptation problem that has a large labeled data in the source domain and a large but unlabeled data in the target domain. Our aim is to learn relia...
    Wenliang Chen, Youzheng Wu, Hitoshi Isahara
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    86
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    NAACL
    2010
    152views Computational Linguistics» more  NAACL 2010»
    Ensemble Models for Dependency Parsing: Cheap and Good?
    14 years 7 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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    EACL
    2009
    ACL Anthology
    110views Natural Language Processing» more  EACL 2009»
    Parsing Mildly Non-Projective Dependency Structures
    15 years 10 months ago
    Parsing Mildly Non-Projective Dependency Structures
    Download  www.grupocole.org
    We present novel parsing algorithms for several sets of mildly non-projective dependency structures. First, we define a parser for well-nested structures of gap degree at most 1, ...
    Carlos Gómez-Rodríguez, David J. Wei...
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    84
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    COLING
    2002
    153views Computational Linguistics» more  COLING 2002»
    Creating a Finite-State Parser with Application Semantics
    14 years 9 months ago
    Creating a Finite-State Parser with Application Semantics
    Download  acl.ldc.upenn.edu
    Parsli is a finite-state (FS) parser which can be tailored to the lexicon, syntax, and semantics of a particular application using a hand-editable declarative lexicon. The lexicon...
    Owen Rambow, Srinivas Bangalore, Tahir Butt, Alexi...
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    ACL
    2007
    96views Computational Linguistics» more  ACL 2007»
    Generalizing Tree Transformations for Inductive Dependency Parsing
    14 years 11 months ago
    Generalizing Tree Transformations for Inductive Dependency Parsing
    Download  acl.ldc.upenn.edu
    Previous studies in data-driven dependency parsing have shown that tree transformations can improve parsing accuracy for specific parsers and data sets. We investigate to what ex...
    Jens Nilsson, Joakim Nivre, Johan Hall
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