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    » On Languages with Very High Information Content
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    COCO
    1992
    Springer
    96views Algorithms» more  COCO 1992»
    On Languages with Very High Information Content
    13 years 9 months ago
    On Languages with Very High Information Content
    Download  archives.cs.iastate.edu
    Ronald V. Book, Jack H. Lutz
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    ACL
    2011
    204views Computational Linguistics» more  ACL 2011»
    The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content
    12 years 9 months ago
    The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content
    Download  www.cs.jhu.edu
    The written form of Arabic, Modern Standard Arabic (MSA), differs quite a bit from the spoken dialects of Arabic, which are the true “native” languages of Arabic speakers used...
    Omar Zaidan, Chris Callison-Burch
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    DOCENG
    2009
    ACM
    139views Document Analysis» more  DOCENG 2009»
    Web document text and images extraction using DOM analysis and natural language processing
    13 years 12 months ago
    Web document text and images extraction using DOM analysis and natural language processing
    Download  www.hpl.hp.com
    : © Web Document Text and Images Extraction using DOM Analysis and Natural Language Processing Parag Mulendra Joshi, Sam Liu HP Laboratories HPL-2009-187 Web page text extraction,...
    Parag Mulendra Joshi, Sam Liu
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    CAIVD
    1998
    110views more  CAIVD 1998»
    Video Skimming and Characterization through the Combination of Image and Language Understanding
    13 years 6 months ago
    Video Skimming and Characterization through the Combination of Image and Language Understanding
    Download  www.informedia.cs.cmu.edu
    Digital video is rapidly becoming important for education, entertainment, and a host of multimedia applications. With the size of the video collections growing to thousands of hou...
    Michael A. Smith, Takeo Kanade
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    EMNLP
    2009
    165views Natural Language Processing» more  EMNLP 2009»
    Automatically Evaluating Content Selection in Summarization without Human Models
    13 years 3 months ago
    Automatically Evaluating Content Selection in Summarization without Human Models
    Download  www.aclweb.org
    We present a fully automatic method for content selection evaluation in summarization that does not require the creation of human model summaries. Our work capitalizes on the assu...
    Annie Louis, Ani Nenkova
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