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» Learning from General Label Constraints
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CIKM
2008
Springer
13 years 10 months ago
Identifying table boundaries in digital documents via sparse line detection
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Ying Liu, Prasenjit Mitra, C. Lee Giles
UAI
2004
13 years 10 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
WWW
2009
ACM
14 years 3 months ago
News article extraction with template-independent wrapper
We consider the problem of template-independent news extraction. The state-of-the-art news extraction method is based on template-level wrapper induction, which has two serious li...
Junfeng Wang, Xiaofei He, Can Wang, Jian Pei, Jiaj...
AIEDU
2006
77views more  AIEDU 2006»
13 years 8 months ago
Constraint-based Modeling and Ambiguity
Constraint-based modeling has been used in many application areas of Intelligent Tutoring Systems as a powerful means to analyse erroneous student solutions and generate helpful fe...
Wolfgang Menzel
CIKM
2004
Springer
14 years 2 months ago
Extending and inferring functional dependencies in schema transformation
We study the representation, derivation and utilization of a special kind of constraints in multidatabase systems. A major challenge is when component database schemas are schemat...
Qi He, Tok Wang Ling