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    » A Deductive Approach to Dependency Parsing
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    LREC
    2010
    180views Education» more  LREC 2010»
    Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy
    13 years 9 months ago
    Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy
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    We investigate a number of approaches to generating Stanford Dependencies, a widely used semantically-oriented dependency representation. We examine algorithms specifically design...
    Daniel Cer, Marie-Catherine de Marneffe, Daniel Ju...
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    ACL
    2006
    140views Computational Linguistics» more  ACL 2006»
    A Comparison of Alternative Parse Tree Paths for Labeling Semantic Roles
    13 years 9 months ago
    A Comparison of Alternative Parse Tree Paths for Labeling Semantic Roles
    Download  people.ict.usc.edu
    The integration of sophisticated inference-based techniques into natural language processing applications first requires a reliable method of encoding the predicate-argument struc...
    Reid Swanson, Andrew S. Gordon
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    ACL
    2008
    113views Computational Linguistics» more  ACL 2008»
    Simple Semi-supervised Dependency Parsing
    13 years 9 months ago
    Simple Semi-supervised Dependency Parsing
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    We present a simple and effective semisupervised method for training dependency parsers. We focus on the problem of lexical representation, introducing features that incorporate w...
    Terry Koo, Xavier Carreras, Michael Collins
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    INTERSPEECH
    2010
    140views Signal Processing» more  INTERSPEECH 2010»
    Using dependency parsing and machine learning for factoid question answering on spoken documents
    13 years 2 months ago
    Using dependency parsing and machine learning for factoid question answering on spoken documents
    Download  www.lsi.upc.edu
    This paper presents our experiments in question answering for speech corpora. These experiments focus on improving the answer extraction step of the QA process. We present two app...
    Pere Comas, Jordi Turmo, Lluís Màrqu...
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    NAACL
    2010
    166views Computational Linguistics» more  NAACL 2010»
    From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing
    13 years 5 months ago
    From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing
    Download  www.stanford.edu
    We present three approaches for unsupervised grammar induction that are sensitive to data complexity and apply them to Klein and Manning's Dependency Model with Valence. The ...
    Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jura...
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