Information theory provides a range of useful methods to analyse probability distributions and these techniques have been successfully applied to measure information flow and the ...
Konstantinos Chatzikokolakis, Tom Chothia, Apratim...
Information Visualization is a challenging field, enabling a better use of humans’ visual and cognitive system, to make sense of very large datasets. This paper aims at improvi...
During the past decade there have been significant advances in the field of Natural Language Processing (NLP) and, in particular, Information Extraction (IE) [2] which have fueled...
Kiyoshi Sudo, Amit Bagga, Lawrence O'Gorman, Jon L...
Adaptive information systems typically exploit knowledge about the user’s interests, preferences, goals etc. to determine what should be presented to the user and how this presen...
A Machine Translation (MT) system is an automatic process that translates from one human language to another language by using context information. We evaluate the use of an MT-ba...
Mohammed Aljlayl, Ophir Frieder, David A. Grossman