Flexible Summarization  Jean-Francois Delannoy, Ken Barker,
Terry Copeck, Martin Laplante, Stan Matwin and Stan Szpakowicz
Our project, initiated in 1997, approaches text summarization as
a knowledge-scant task of passage selection. Several features
make this task more discriminating. These features include
"smart" key phrase selection that uses machine learning
techniques and simple linguistic criteria; dynamic passage
selection; adaptation to the type of text; and choice among
several styles of summary. This paper presents the guiding
principles of the project, describes the current state of the
prototype, and discusses short-term and long-term future
research.