This paper describes an initiative at North Carolina State University in which the undergraduate software engineering class was restructured in layout and in presentation. The cha...
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
During maintenance, systems are updated to correct faults, improve functionality, and adapt the software to changes in its execution environment. The typical softwareupdate proces...
This paper presents an empirical study for improving the performance of text chunking. We focus on two issues: the problem of selecting feature spaces, and the problem of alleviat...
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...