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    BNCOD
    2008
    143views Database» more  BNCOD 2008»
    Reconciling Inconsistent Data in Probabilistic XML Data Integration
    14 years 11 months ago
    Reconciling Inconsistent Data in Probabilistic XML Data Integration
    Download  www.staff.amu.edu.pl
    Abstract. The problem of dealing with inconsistent data while integrating XML data from different sources is an important task, necessary to improve data integration quality. Typic...
    Tadeusz Pankowski
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    COLING
    2008
    121views Computational Linguistics» more  COLING 2008»
    Verification and Implementation of Language-Based Deception Indicators in Civil and Criminal Narratives
    14 years 11 months ago
    Verification and Implementation of Language-Based Deception Indicators in Civil and Criminal Narratives
    Download  www.aclweb.org
    Our goal is to use natural language processing to identify deceptive and nondeceptive passages in transcribed narratives. We begin by motivating an analysis of language-based dece...
    Joan Bachenko, Eileen Fitzpatrick, Michael Schonwe...
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    LREC
    2010
    166views Education» more  LREC 2010»
    Corpora for Automatically Learning to Map Natural Language Questions into SQL Queries
    14 years 11 months ago
    Corpora for Automatically Learning to Map Natural Language Questions into SQL Queries
    Download  dit.unitn.it
    Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
    Alessandra Giordani, Alessandro Moschitti
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    IFIP12
    2008
    183views Information Technology» more  IFIP12 2008»
    P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
    14 years 11 months ago
    P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
    Download  www.maxbramer.org.uk
    Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
    Frederic T. Stahl, Max A. Bramer, Mo Adda
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    NIPS
    2008
    163views Information Technology» more  NIPS 2008»
    Learning Bounded Treewidth Bayesian Networks
    14 years 11 months ago
    Learning Bounded Treewidth Bayesian Networks
    Download  pluto.huji.ac.il
    With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
    Gal Elidan, Stephen Gould
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