Most current theories about collective cognitive activities in limited groups apply to structurally closed co-operative situations Here we propose to work in the framework of inte...
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
In this paper, we present a hybrid approach to the problem of the document analysis in which the document image is segmented by means of a top-down technique and then basic blocks...
Floriana Esposito, Donato Malerba, Giovanni Semera...
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...
— In this paper I show how ontologies support the student modelling through the semantic definition of concepts that depict a student. The aim is to outline the framework for bui...