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...
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...
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...
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...
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...