When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
In this paper, we present a prototype that helps visualizing the relative importance of sentences extracted from medical texts using Embodied Conversational Agents (ECA). We propo...
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
We first show by measurements that BGP peering links fail as frequently as intradomain links and usually for short periods of time. We propose a new fast-reroute technique where ...
Olivier Bonaventure, Clarence Filsfils, Pierre Fra...
This paper presents a new approach to text processing, based on textemes. These are atomic text units generalising the concepts of character and glyph by merging them in a common ...