Selective information presentation in an integrated publication system: An application of genre-driven text generation

In this paper we focus on an experimental application scenario in which the presentation of appropriately selected information is crucial. The scenario involves an editor working on producing a large-scale encyclopedia on the basis of a large number of submitted source articles. In order to make editorial decisions, that editor needs to have access to dynamically selected aspects of the contents of those articles--;a "summarization" of that content needs to be achieved. We present a first prototype that provides a generic basis for such a functionality. The essential features of our system supporting this functionality build on multilingual, genre-driven automatic text generation. The central role of genre in this model is motivated and briefly illustrated by considering examples of generated texts. The scenario as a whole naturally extends to allow considerations of the information needs of the information-seeking non-expert and to open information systems.