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    SAC
    2009
    ACM
    72views Applied Computing» more  SAC 2009»
    Exploiting weak dependencies in tree-based search
    14 years 5 months ago
    Exploiting weak dependencies in tree-based search
    Download  hal.inria.fr
    In this work, our objective is to heuristically discover a simplified form of functional dependencies between variables called weak dependencies. Once discovered, these relations...
    Alejandro Arbelaez, Youssef Hamadi
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    ACL
    2009
    134views Computational Linguistics» more  ACL 2009»
    Quadratic-Time Dependency Parsing for Machine Translation
    13 years 8 months ago
    Quadratic-Time Dependency Parsing for Machine Translation
    Download  nlp.stanford.edu
    Efficiency is a prime concern in syntactic MT decoding, yet significant developments in statistical parsing with respect to asymptotic efficiency haven't yet been explored in...
    Michel Galley, Christopher D. Manning
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    ACL
    2004
    129views Computational Linguistics» more  ACL 2004»
    Long-Distance Dependency Resolution in Automatically Acquired Wide-Coverage PCFG-Based LFG Approximations
    13 years 11 months ago
    Long-Distance Dependency Resolution in Automatically Acquired Wide-Coverage PCFG-Based LFG Approximations
    Download  acl.ldc.upenn.edu
    This paper shows how finite approximations of long distance dependency (LDD) resolution can be obtained automatically for wide-coverage, robust, probabilistic Lexical-Functional G...
    Aoife Cahill, Michael Burke, Ruth O'Donovan, Josef...
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    NAACL
    2010
    238views Computational Linguistics» more  NAACL 2010»
    An Efficient Algorithm for Easy-First Non-Directional Dependency Parsing
    13 years 8 months ago
    An Efficient Algorithm for Easy-First Non-Directional Dependency Parsing
    Download  www.cs.bgu.ac.il
    We present a novel deterministic dependency parsing algorithm that attempts to create the easiest arcs in the dependency structure first in a non-directional manner. Traditional d...
    Yoav Goldberg, Michael Elhadad
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    ML
    2012
    ACM
    413views Machine Learning» more  ML 2012»
    Gradient-based boosting for statistical relational learning: The relational dependency network case
    12 years 6 months ago
    Gradient-based boosting for statistical relational learning: The relational dependency network case
    Download  ftp.cs.wisc.edu
    Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
    Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
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