We present a computational study of an auction-based method for decentralized train scheduling. The method is well suited to the natural information and control structure of moder...
Georeferenced data sets are often large and complex. Natural Language Generation (NLG) systems are beginning to emerge that generate texts from such data. One of the challenges th...
We describe an implementation of datadriven selection of emphatic facial displays for an embodied conversational agent in a dialogue system. A corpus of sentences in the domain of...
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
The paper proposes a paradigmatic approach to morphological knowledge acquisition. It addresses the problem of learning from examples rules for word-forms analysis and synthesis. ...