We define the problem of decomposing human-written summary sentences and propose a novel Hidden Markov Model solution to the problem. Human summarizers often rely on cutting and ...
In this paper, we propose a novel approach to automatic generation of summary templates from given collections of summary articles. This kind of summary templates can be useful in...
In this paper we present a framework for spoken recommendation systems. To provide reliable recommendations to users, we incorporate a review summarization technique which extract...
Sharing huge, massively distributed databases in P2P systems is inherently difficult. As the amount of stored data increases, data localization techniques become no longer suffi...
Rabab Hayek, Guillaume Raschia, Patrick Valduriez,...
In this paper, several problems in associating hyperlinks to text and the diverse possibilities to overcome these problems are discussed. At the current stage, an important aspect ...
Ernst Georg Haffner, Andreas Heuer 0002, Uwe Roth,...