Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
We present an automated, scalable, method for crafting dynamic responses to real-time network requests. Specifically, we provide a flexible technique based on natural language pro...
Sam Small, Joshua Mason, Fabian Monrose, Niels Pro...
Abstract. Recently, more and more web services are being made available and their use can potentially highly increase cooperation in P2P systems, where different partners intend t...
Devis Bianchini, Valeria De Antonellis, Michele Me...
A novel method for simultaneous keyphrase extraction and generic text summarization is proposed by modeling text documents as weighted undirected and weighted bipartite graphs. Sp...
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...