Information extraction from large data repositories is critical to Information Management solutions. In addition to prerequisite corpus analysis, to determine domain-specific char...
Youssef Drissi, Branimir Boguraev, David Ferrucci,...
Abstract— In this paper, we present a novel and comprehensive resource management solution for the autonomous hot-spot convergence system (AHSCS) that uses sensor web. This solut...
Inspired by our past manual aspect mining experiences, this paper describes a random walk model to approximate how crosscutting concerns can be discovered in the absence of domain...
The huge amount of the available information in the Web creates the need of effective information extraction systems that are able to produce metadata that satisfy user's inf...
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...