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» The Dark Side of Object Learning: Learning Objects
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LREC
2010
126views Education» more  LREC 2010»
13 years 10 months ago
Predictive Features for Detecting Indefinite Polar Sentences
In recent years, text classification in sentiment analysis has mostly focused on two types of classification, the distinction between objective and subjective text, i.e. subjectiv...
Michael Wiegand, Dietrich Klakow
ICCE
2007
114views Education» more  ICCE 2007»
13 years 10 months ago
Investigating the Reuse of Course Generation Knowledge
: Course generation knowledge, i.e., how to assemble a sequence of learning objects which is adapted to a learner’s goals, competencies and preferences, is hard to assess and exp...
Carsten Ullrich, Qinghua Chen, Sushing Chen, Lipin...
LKR
2008
13 years 10 months ago
Design and Prototype of a Large-Scale and Fully Sense-Tagged Corpus
Sense tagged corpus plays a very crucial role to Natural Language Processing, especially on the research of word sense disambiguation and natural language understanding. Having a l...
Sue-jin Ker, Chu-Ren Huang, Jia-Fei Hong, Shi-Yin ...
IJCAI
2007
13 years 10 months ago
Explanation-Based Feature Construction
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
IM
2007
13 years 10 months ago
Issues in Designing a Policy Language for Distributed Management of IT Infrastructures
— The objectives of this paper are twofold. First, we introduce a novel policy language, called CIM-SPL (Simple Policy Language for CIM) that complies with the CIM (Common Inform...
Dakshi Agrawal, Seraphin B. Calo, Kang-Won Lee, Jo...