In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Noun phrases of a document usually are the main information bearers. Thus, the detection of these units is crucial in many applications related to information retrieval, such as co...
In the research project EPOS1 we build a pro-active, contextsensitive support system to aid the user with his knowledge work, which is mostly about searching, reading, creating, an...
We present a study of the degree to which annotations overlap when several researchers read the same set of scientific articles. Our objective is to determine whether there is suf...
In a distributed environment, the presentation of structured, composite multimedia information poses new challenges in dealing with variable bandwidth (BW) requirements and synchro...