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    WWW
    2007
    ACM
    131views Internet Technology» more  WWW 2007»
    U-REST: an unsupervised record extraction system
    14 years 8 months ago
    U-REST: an unsupervised record extraction system
    Download  people.csail.mit.edu
    In this paper, we describe a system that can extract record structures from web pages with no direct human supervision. Records are commonly occurring HTML-embedded data tuples th...
    Yuan Kui Shen, David R. Karger
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    CBMS
    2009
    IEEE
    187views Medical Imaging» more  CBMS 2009»
    Scenario-oriented information extraction from electronic health records
    14 years 2 months ago
    Scenario-oriented information extraction from electronic health records
    Download  mscehealth.mcmaster.ca
    Providing a comprehensive set of relevant information at the point of care is crucial for making correct clinical decisions in a timely manner. Retrieval of scenario specific inf...
    Anis Yousefi, Negin Mastouri, Kamran Sartipi
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    LREC
    2008
    102views Education» more  LREC 2008»
    A Research on Automatic Chinese Catchword Extraction
    13 years 9 months ago
    A Research on Automatic Chinese Catchword Extraction
    Download  www.lrec-conf.org
    Catchwords refer to popular words or phrases within certain area in certain period of time. In this paper, we propose a novel approach for automatic Chinese catchwords extraction....
    Han Ren, Donghong Ji, Lei Han
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    EMNLP
    2009
    176views Natural Language Processing» more  EMNLP 2009»
    Collocation Extraction Using Monolingual Word Alignment Method
    13 years 5 months ago
    Collocation Extraction Using Monolingual Word Alignment Method
    Download  www.aclweb.org
    Statistical bilingual word alignment has been well studied in the context of machine translation. This paper adapts the bilingual word alignment algorithm to monolingual scenario ...
    Zhan-yi Liu, Haifeng Wang, Hua Wu, Sheng Li
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    TRECVID
    2008
    119views Internet Technology» more  TRECVID 2008»
    LIG and LIRIS at TRECVID 2008: High Level Feature Extraction and Collaborative Annotation
    13 years 9 months ago
    LIG and LIRIS at TRECVID 2008: High Level Feature Extraction and Collaborative Annotation
    Download  www-nlpir.nist.gov
    This paper describes our participations of LIG and LIRIS to the TRECVID 2008 High Level Features detection task. We evaluated several fusion strategies and especially rank fusion....
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