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    COLING
    2008
    156views Computational Linguistics» more  COLING 2008»
    The Choice of Features for Classification of Verbs in Biomedical Texts
    13 years 11 months ago
    The Choice of Features for Classification of Verbs in Biomedical Texts
    Download  www.cl.cam.ac.uk
    We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
    Anna Korhonen, Yuval Krymolowski, Nigel Collier
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    MVA
    2007
    153views Computer Vision» more  MVA 2007»
    Paper Surface Topography Using Three-light Photometric Stereo
    13 years 11 months ago
    Paper Surface Topography Using Three-light Photometric Stereo
    Download  b2.cvl.iis.u-tokyo.ac.jp
    In paper industry, the measurement of paper surface topography is important for paper quality control. Noncontact and fast photometric stereo overcomes the disadvantages of the tr...
    Toni Kuparinen, Ville Kyrki, Jarno Mielikäine...
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    MVA
    2007
    113views Computer Vision» more  MVA 2007»
    Stabilizing Illumination Chromaticity Estimation Using the Illumination Line Segment
    13 years 11 months ago
    Stabilizing Illumination Chromaticity Estimation Using the Illumination Line Segment
    Download  b2.cvl.iis.u-tokyo.ac.jp
    We propose a method to stabilize illumination color estimation by using the idea of an “Illumination line segment”. It is a finite line where every illumination color exists ...
    Rei Kawakami, Katsushi Ikeuchi
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    ACL
    2006
    140views Computational Linguistics» more  ACL 2006»
    Using String-Kernels for Learning Semantic Parsers
    13 years 11 months ago
    Using String-Kernels for Learning Semantic Parsers
    Download  www.cs.utexas.edu
    We present a new approach for mapping natural language sentences to their formal meaning representations using stringkernel-based classifiers. Our system learns these classifiers ...
    Rohit J. Kate, Raymond J. Mooney
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    EMNLP
    2006
    93views Natural Language Processing» more  EMNLP 2006»
    Random Indexing using Statistical Weight Functions
    13 years 11 months ago
    Random Indexing using Statistical Weight Functions
    Download  www.cs.usyd.edu.au
    Random Indexing is a vector space technique that provides an efficient and scalable approximation to distributional similarity problems. We present experiments showing Random Inde...
    James Gorman, James R. Curran
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