Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
In this paper we propose a methodology to learn to extract domain-specific information from large repositories (e.g. the Web) with minimum user intervention. Learning is seeded b...
Fabio Ciravegna, Alexiei Dingli, David Guthrie, Yo...
Maintaining and extending large thesauri is an important challenge facing digital libraries and IT businesses alike. In this paper we describe a method building on and extending ex...
Robert Meusel, Mathias Niepert, Kai Eckert, Heiner...
Modern agent and mediator systems communicate to a multitude of Web information providers to better satisfy user requests. They use wrappers to extract relevant information from HT...
Our KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an autonomous, domain...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...