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    BIOCOMP
    2008
    76views Bioinformatics» more  BIOCOMP 2008»
    Specificity Normalization for Identifying Selective Inhibitors in Virtual Screening
    15 years 5 months ago
    Specificity Normalization for Identifying Selective Inhibitors in Virtual Screening
    Download  faculty.cs.tamu.edu
    ct The enrichment and recall of known inhibitors in a virtual screen are correlated with the probability of finding effective inhibitors through this process. In practice, a large ...
    Reetal Pai, James C. Sacchettini, Thomas R. Ioerge...
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    107
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    CMG
    2007
    56views Theoretical Computer Science» more  CMG 2007»
    Techniques for Identifying and Optimizing Resource-Intensive Sql Server Queries
    15 years 5 months ago
    Techniques for Identifying and Optimizing Resource-Intensive Sql Server Queries
    Download  www.stlssug.org
    Jeffry Schwartz
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    115
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    COLING
    2008
    150views Computational Linguistics» more  COLING 2008»
    Easily Identifiable Discourse Relations
    15 years 5 months ago
    Easily Identifiable Discourse Relations
    Download  www.seas.upenn.edu
    We present a corpus study of local discourse relations based on the Penn Discourse Tree Bank, a large manually annotated corpus of explicitly or implicitly realized relations. We ...
    Emily Pitler, Mridhula Raghupathy, Hena Mehta, Ani...
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    LREC
    2010
    116views Education» more  LREC 2010»
    Identifying Sources of Weakness in Syntactic Lexicon Extraction
    15 years 5 months ago
    Identifying Sources of Weakness in Syntactic Lexicon Extraction
    Download  www.lrec-conf.org
    Previous work has shown that large scale subcategorisation lexicons could be extracted from parsed corpora with reasonably high precision. In this paper, we apply a standard extra...
    Claire Gardent, Alejandra Lorenzo
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    68
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    EMNLP
    2007
    88views Natural Language Processing» more  EMNLP 2007»
    MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality
    15 years 5 months ago
    MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality
    Download  www.law.berkeley.edu
    Anthony Fader, Dragomir R. Radev, Michael H. Cresp...
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