The state-of-the-art in Named Entity Recognition relies on a combination of local features of the text and global knowledge to determine the types of the recognized entities. This...
This paper explores the scalability issues associated with solving the Named Entity Recognition (NER) problem using Support Vector Machines (SVM) and high-dimensional features and ...
In a recent study, we discovered a new effect of adaptive navigation support in the context of E-learning: the ability to motivate student to work more with non-mandatory education...
Sergey A. Sosnovsky, Peter Brusilovsky, Danielle H...
Abstract. In this paper we present a concrete case study in which semantic technology has been used to enable a territorial innovation. Firstly, we describe a scenario of the ICT r...
Pavel Shvaiko, Alessandro Oltramari, Roberta Cuel,...
System-level computer architecture simulations create large volumes of simulation data to explore alternative architectural solutions. Interpreting and drawing conclusions from thi...