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    ACL
    2008
    151views Computational Linguistics» more  ACL 2008»
    Semantic Role Labeling Systems for Arabic using Kernel Methods
    13 years 11 months ago
    Semantic Role Labeling Systems for Arabic using Kernel Methods
    Download  www.ist-luna.eu
    There is a widely held belief in the natural language and computational linguistics communities that Semantic Role Labeling (SRL) is a significant step toward improving important ...
    Mona T. Diab, Alessandro Moschitti, Daniele Pighin
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    EACL
    2006
    ACL Anthology
    73views Natural Language Processing» more  EACL 2006»
    Generating and Visualizing a Soccer Knowledge Base
    13 years 11 months ago
    Generating and Visualizing a Soccer Knowledge Base
    Download  www.aclweb.org
    o abstract describes the SmartWeb Ontology-based Annotation system (SOBA). A key feature of SOBA is that all information is extracted and stored with respect to the SmartWeb Integ...
    Paul Buitelaar, Thomas Eigner, Greg Gul-rajani, Al...
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    EACL
    2006
    ACL Anthology
    120views Natural Language Processing» more  EACL 2006»
    Online Learning of Approximate Dependency Parsing Algorithms
    13 years 11 months ago
    Online Learning of Approximate Dependency Parsing Algorithms
    Download  www.seas.upenn.edu
    In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
    Ryan T. McDonald, Fernando C. N. Pereira
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    EACL
    2006
    ACL Anthology
    143views Natural Language Processing» more  EACL 2006»
    Using Reinforcement Learning to Build a Better Model of Dialogue State
    13 years 11 months ago
    Using Reinforcement Learning to Build a Better Model of Dialogue State
    Download  acl.ldc.upenn.edu
    Given the growing complexity of tasks that spoken dialogue systems are trying to handle, Reinforcement Learning (RL) has been increasingly used as a way of automatically learning ...
    Joel R. Tetreault, Diane J. Litman
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    NIPS
    2004
    162views Information Technology» more  NIPS 2004»
    An Application of Boosting to Graph Classification
    13 years 11 months ago
    An Application of Boosting to Graph Classification
    Download  books.nips.cc
    This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
    Taku Kudo, Eisaku Maeda, Yuji Matsumoto
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