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<Paper uid="W00-1412">
  <Title>Incr en ntal, Eventoneeptua fization.:and Natural Language Generation in Monitoring Environments</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> 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.</Paragraph>
  </Section>
class="xml-element"></Paper>