Connectionist Modeling of Human Event Memorization Processes with Application to Automatic Text Summarization
Maria Aretoulaki, Gabriele Scheler, Wilfried Brauer · 1998
In this paper we present a new approach to text summarization from the perspective of neuropsychological evidence and the related methodology of connectionist modeling. The goal of this project is the computational modeling of the specific neuropsychological processes involved in event and text memorization and the creation of a working model of text summarization as a specific problem area. Memorization and summarization are seen as inherently related processes: linguistic material (e.g. spoken stories or written reports) is compressed into a smaller unit, a schema, which conveys the most central of the states and events described therein, using feature representations of lexical concepts. It is in this compressed form that the source material is "stored" in memory and on this basis it is later retrieved. What needs to be identified is the way whereby these schemata are formed in memory and to model the associated processes of schema selection, instantiation and change appropriately, ...