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    SDM
    2011
    SIAM
    269views Data Mining» more  SDM 2011»
    Semi-Supervised Convolution Graph Kernels for Relation Extraction
    12 years 11 months ago
    Semi-Supervised Convolution Graph Kernels for Relation Extraction
    Download  www.cs.cmu.edu
    Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
    Xia Ning, Yanjun Qi
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    SDM
    2012
    SIAM
    216views Data Mining» more  SDM 2012»
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    11 years 11 months ago
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    Download  www.hpl.hp.com
    :  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
    George Forman
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    KDD
    2009
    ACM
    204views Data Mining» more  KDD 2009»
    Improving classification accuracy using automatically extracted training data
    14 years 9 months ago
    Improving classification accuracy using automatically extracted training data
    Download  pages.cs.wisc.edu
    Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
    Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
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    ACL
    2003
    134views Computational Linguistics» more  ACL 2003»
    Generalized Algorithms for Constructing Statistical Language Models
    13 years 10 months ago
    Generalized Algorithms for Constructing Statistical Language Models
    Download  cs.nyu.edu
    Recent text and speech processing applications such as speech mining raise new and more general problems related to the construction of language models. We present and describe in...
    Cyril Allauzen, Mehryar Mohri, Brian Roark
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    KDD
    2009
    ACM
    211views Data Mining» more  KDD 2009»
    Address standardization with latent semantic association
    14 years 9 months ago
    Address standardization with latent semantic association
    Download  www-ai.cs.uni-dortmund.de
    Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
    Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
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