This paper explores the possibility to exploit text on the world wide web in order to enrich the concepts in existing ontologies. First, a method to retrieve documents from the WWW...
Eneko Agirre, Olatz Ansa, Eduard H. Hovy, David Ma...
This work explores how comparing web navigation histories between two people and presenting the results to them might allow them to gain insight about each other. We developed a p...
Mark Bilezikjian, John C. Tang, James Bo Begole, N...
This paper introduces a method for rejecting the false matches of points between successive views in a video sequence used to perform Pose from Motion for a mobile sensing platfor...
Brad Grinstead, Andreas Koschan, Andrei V. Gribok,...
Word clustering is important for automatic thesaurus construction, text classification, and word sense disambiguation. Recently, several studies have reported using the web as a c...
Yutaka Matsuo, Takeshi Sakaki, Koki Uchiyama, Mits...
In this paper, we propose a new approach to discover informative contents from a set of tabular documents (or Web pages) of a Web site. Our system, InfoDiscoverer, first partition...