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    ACL
    2009
    166views Computational Linguistics» more  ACL 2009»
    A Novel Discourse Parser Based on Support Vector Machine Classification
    13 years 2 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
    2010
    152views Natural Language Processing» more  EMNLP 2010»
    A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
    13 years 2 months ago
    A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
    Download  www.cse.ohio-state.edu
    Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
    Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
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    CICLING
    2010
    Springer
    255views Natural Language Processing» more  CICLING 2010»
    A Sequential Model for Discourse Segmentation
    13 years 11 months ago
    A Sequential Model for Discourse Segmentation
    Download  www.miv.t.u-tokyo.ac.jp
    Identifying discourse relations in a text is essential for various tasks in Natural Language Processing, such as automatic text summarization, question-answering, and dialogue gene...
    Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    13 years 4 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    Download  www.biomedcentral.com
    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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    CVPR
    2008
    IEEE
    411views Computer Vision» more  CVPR 2008»
    Classification using intersection kernel support vector machines is efficient
    14 years 6 months ago
    Classification using intersection kernel support vector machines is efficient
    Download  www.cs.berkeley.edu
    Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can ...
    Subhransu Maji, Alexander C. Berg, Jitendra Malik
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