While argumentation is highly important for humans in many different aspects of life, it is hard to teach large groups to argue. Classic face-to-face approaches, which have shown ...
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
In this contribution we present the dialogue generator module of a Dialogue-based Interactive Diagnostic and Learning System (DIDLS) for Historical Text Comprehension (HTC). The d...
Grammatiki Tsaganou, Maria Grigoriadou, Theodora C...
Wepropose a cooperative conceptual modelling environment in which two agents interact : the machineand the humanexpert. Theformer is able to extract knowledge from data using a sy...