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    WWW
    2006
    ACM
    185views Internet Technology» more  WWW 2006»
    Large-scale text categorization by batch mode active learning
    14 years 9 months ago
    Large-scale text categorization by batch mode active learning
    Download  appsrv.cse.cuhk.edu.hk
    Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
    Steven C. H. Hoi, Rong Jin, Michael R. Lyu
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    ISMB
    2007
    206views Computational Biology» more  ISMB 2007»
    A Chado case study: an ontology-based modular schema for representing genome-associated biological information
    13 years 11 months ago
    A Chado case study: an ontology-based modular schema for representing genome-associated biological information
    Download  gmod.org
    Motivation: A few years ago, FlyBase undertook to design a new database schema to store Drosophila data. It would fully integrate genomic sequence and annotation data with bibliog...
    Chris Mungall, David B. Emmert
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    SBBD
    2004
    119views Database» more  SBBD 2004»
    Computing the Dependency Basis for Nested List Attributes
    13 years 10 months ago
    Computing the Dependency Basis for Nested List Attributes
    Download  www.lbd.dcc.ufmg.br
    Multi-valued dependencies (MVDs) are an important class of constraints that is fundamental for relational database design. Although modern applications increasingly require the su...
    Sven Hartmann, Sebastian Link
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    CIKM
    2007
    Springer
    133views Information Technology» more  CIKM 2007»
    Generalizing from relevance feedback using named entity wildcards
    14 years 3 months ago
    Generalizing from relevance feedback using named entity wildcards
    Download  www.cs.cmu.edu
    Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
    Abhimanyu Lad, Yiming Yang
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    EMNLP
    2007
    191views Natural Language Processing» more  EMNLP 2007»
    Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
    13 years 10 months ago
    Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
    Download  acl.ldc.upenn.edu
    One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
    David A. Smith, Jason Eisner
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