Incremental Event Conceptualization and Natural Language Generation in Monitoring Enviroments

In this paper we present a psycholinguistically motivated architecture and its prototypical implementation for an incremental conceptualizer, which monitors dynamic changes in the world and simultaneously generates warnings for (possibly) safety-critical developments. It does so by conceptualizing events and building up a hierarchical knowledge representation of the perceived states of affairs. If it detects a safety problem, it selects suitable elements from the representation for a warning, brings them into an appropriate order, and generates incremental preverbal messages (propositional structures) from them, which can be taken by a subsequent component to encode them linguistically.