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    NAACL
    2010
    155views Computational Linguistics» more  NAACL 2010»
    Automatic Domain Adaptation for Parsing
    13 years 6 months ago
    Automatic Domain Adaptation for Parsing
    Download  nlp.stanford.edu
    Current statistical parsers tend to perform well only on their training domain and nearby genres. While strong performance on a few related domains is sufficient for many situatio...
    David McClosky, Eugene Charniak, Mark Johnson
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    SRDS
    2010
    IEEE
    171views Operating System» more  SRDS 2010»
    Invariants Based Failure Diagnosis in Distributed Computing Systems
    13 years 6 months ago
    Invariants Based Failure Diagnosis in Distributed Computing Systems
    Download  www.nec-labs.com
    This paper presents an instance based approach to diagnosing failures in computing systems. Owing to the fact that a large portion of occurred failures are repeated ones, our meth...
    Haifeng Chen, Guofei Jiang, Kenji Yoshihira, Akhil...
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    ACL
    2009
    165views Computational Linguistics» more  ACL 2009»
    Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
    13 years 6 months ago
    Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
    Download  www.aclweb.org
    Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
    Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
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    ACL
    2009
    166views Computational Linguistics» more  ACL 2009»
    A Novel Discourse Parser Based on Support Vector Machine Classification
    13 years 6 months ago
    A Novel Discourse Parser Based on Support Vector Machine Classification
    Download  www.aclweb.org
    This paper introduces a new algorithm to parse discourse within the framework of Rhetorical Structure Theory (RST). Our method is based on recent advances in the field of statisti...
    David duVerle, Helmut Prendinger
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    EMNLP
    2009
    110views Natural Language Processing» more  EMNLP 2009»
    Improving Web Search Relevance with Semantic Features
    13 years 6 months ago
    Improving Web Search Relevance with Semantic Features
    Download  ai.uwaterloo.ca
    Most existing information retrieval (IR) systems do not take much advantage of natural language processing (NLP) techniques due to the complexity and limited observed effectivenes...
    Yumao Lu, Fuchun Peng, Gilad Mishne, Xing Wei, Ben...
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