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    DOCENG
    2005
    ACM
    100views Document Analysis» more  DOCENG 2005»
    Enhancing composite digital documents using XML-based standoff markup
    13 years 9 months ago
    Enhancing composite digital documents using XML-based standoff markup
    Download  eprints.nottingham.ac.uk
    Document representations can rapidly become unwieldy if they try to encapsulate all possible document properties, ranging tract structure to detailed rendering and layout. We pres...
    Peter L. Thomas, David F. Brailsford
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    ACL
    2008
    140views Computational Linguistics» more  ACL 2008»
    The Tradeoffs Between Open and Traditional Relation Extraction
    13 years 9 months ago
    The Tradeoffs Between Open and Traditional Relation Extraction
    Download  turing.cs.washington.edu
    Traditional Information Extraction (IE) takes a relation name and hand-tagged examples of that relation as input. Open IE is a relationindependent extraction paradigm that is tail...
    Michele Banko, Oren Etzioni
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    ICMLA
    2008
    145views Machine Learning» more  ICMLA 2008»
    Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
    13 years 9 months ago
    Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
    Download  www.cis.pku.edu.cn
    Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
    Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...
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    MVA
    2007
    230views Computer Vision» more  MVA 2007»
    A Rear Vehicle Location Algorithm for Lane Change Assist
    13 years 9 months ago
    A Rear Vehicle Location Algorithm for Lane Change Assist
    Download  b2.cvl.iis.u-tokyo.ac.jp
    A monocular vision based location algorithm is presented to detect and track rear vehicles for lane change assist. The algorithm uses the shadow underneath the vehicle to extract ...
    Wei Liu, Chunyan Song, Pengyu Fu, Nan Wang, Huai Y...
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    NAACL
    2003
    196views Computational Linguistics» more  NAACL 2003»
    An Analysis of Clarification Dialogue for Question Answering
    13 years 8 months ago
    An Analysis of Clarification Dialogue for Question Answering
    Download  acl.ldc.upenn.edu
    We examine clarification dialogue, a mechanism for refining user questions with follow-up questions, in the context of open domain Question Answering systems. We develop an algori...
    Marco De Boni, Suresh Manandhar
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