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74 resources
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Sara Cushing Weigle|Jan 10th, 2013|journalArticleSara Cushing WeigleJan 10th, 2013
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Mark J. Gierl, Thomas M. Haladyna|Mar 10th, 2013|bookMark J. Gierl, Thomas M. HaladynaMar 10th, 2013
"Automatic item generation (AIG) represents a relatively new and unique research area where specific cognitive and psychometric theories are applied to test construction practices for the purpose of producing test items using technology. The purpose of this book is to bring researchers and practitioners up-to-date on the growing body of research on AIG by organizing in one volume what is currently known about this research area. Part I begins with an overview of the concepts and topics...
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Kellie Morrissey, Jurek Kirakowski, Masa...|Mar 10th, 2013|bookSectionKellie Morrissey, Jurek Kirakowski, Masa...Mar 10th, 2013
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Yoav Cohen, Yael Safran|Apr 10th, 2012|conferencePaperYoav Cohen, Yael SafranApr 10th, 2012
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Brent Bridgeman, Catherine Trapani, Yiga...|Jan 10th, 2012|journalArticleBrent Bridgeman, Catherine Trapani, Yiga...Jan 10th, 2012
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Issac I. Bejar|Sep 10th, 2012|journalArticleIssac I. BejarSep 10th, 2012
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Brent Bridgeman, Catherine Trapani, Yiga...|Jan 10th, 2012|journalArticleBrent Bridgeman, Catherine Trapani, Yiga...Jan 10th, 2012
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Lise Getoor, Ashwin Machanavajjhala|Aug 10th, 2012|journalArticleLise Getoor, Ashwin MachanavajjhalaAug 10th, 2012
This tutorial brings together perspectives on ER from a variety of fields, including databases, machine learning, natural language processing and information retrieval, to provide, in one setting, a survey of a large body of work. We discuss both the practical aspects and theoretical underpinnings of ER. We describe existing solutions, current challenges, and open research problems.
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David M. Williamson, Xiaoming Xi, F. Jay...|Mar 10th, 2012|journalArticleDavid M. Williamson, Xiaoming Xi, F. Jay...Mar 10th, 2012
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Miao Chen, Klaus Zechner|Jun 10th, 2011|conferencePaperMiao Chen, Klaus ZechnerJun 10th, 2011
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Cynthia Dwork, Moritz Hardt, Toniann Pit...|Mar 10th, 2011|journalArticleCynthia Dwork, Moritz Hardt, Toniann Pit...Mar 10th, 2011
We study fairness in classification, where individuals are classified, e.g., admitted to a university, and the goal is to prevent discrimination against individuals based on their membership in some group, while maintaining utility for the classifier (the university). The main conceptual contribution of this paper is a framework for fair classification comprising (1) a (hypothetical) task-specific metric for determining the degree to which individuals are similar with respect to the...
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T. Solorio, M. Sherman, Y. Liu|Oct 22nd, 2010|journalArticleT. Solorio, M. Sherman, Y. LiuOct 22nd, 2010
In this work we study how features typically used in natural language processing tasks, together with measures from syntactic complexity, can be adapted to the problem of developing language profiles of bilingual children. Our experiments show that these features can provide high discriminative value for predicting language dominance from story retells in a Spanish–English bilingual population of children. Moreover, some of our proposed features are even more powerful than measures commonly...
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R.S.J.d Baker, B. McGaw, P. Peterson|Mar 10th, 2010|bookSectionR.S.J.d Baker, B. McGaw, P. PetersonMar 10th, 2010
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Xiaoming Xi|Jul 10th, 2010|journalArticleXiaoming XiJul 10th, 2010