Bateman, J.A.J.A.BatemanTeich, E.E.Teich2022-03-032022-03-031995https://publica.fraunhofer.de/handle/publica/18759510.1016/0306-4573(95)00053-JIn 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.en004005200journal article