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<Paper uid="W00-1430">
  <Title>From Context to Sentence Form</Title>
  <Section position="7" start_page="228" end_page="229" type="concl">
    <SectionTitle>
4 Discussion
</SectionTitle>
    <Paragraph position="0"> In this paper we proposed an NLG strategy that relates aspects of the heater's multidimensional context to grammatical variations of sentences. The interpretation of the COMRIS pragmatic situation in terms of Information Structure Theory leads to decreasing the hearer's cognitive effort by linking the propositional content to her broad context. This is marked grammatically in the resulting utterance.</Paragraph>
    <Paragraph position="1"> Although the details may be application dependent, we believe the general idea holds for context-aware verbal interaction on wearable devices. Experiments in another application area would involve the elaboration of another ontology and might reveal other grammatical markers. We see some limitations and challenges for further research. The approach critically depends on progress in context capturing and especially its high-level interpretation (Schmidt el at., 1999). The use of more sophisticated AI techniques could account for the uncertainty involved in attention space modeling and the indeterminism in mapping pragmatic features to grammatical markers. As more hardware and software becomes available and integrated towards the end of the CO.MRIS project, we plan to perform real-world experiments.</Paragraph>
    <Paragraph position="2"> We can already evaluate our strategy by comparing results groin generation with and without considerlug context, the former producing more varying and more natural output* Our major contribution consists in linking work on focus of attention to real-time monitoring and modeling of different hearer context dimensions and in providing a framework for experimentation and elaboration of NLG techniques for lhe interaction devices of the future: wearables.</Paragraph>
    <Paragraph position="3">  Acknowledgments We appreciated the support of Stephan Busemann w.r.t, the use of TG/2. Walter Van de Velde, Kristiina Jokinen and Jacques Terken provided interesting feedback on the ideas developed here. Many thanks also to the partners of the COMRIS project who are concerned with integrating the different modules, especially Stefan Haustein and Ronald Schroten. This work is funded by the EU LTR research project COMRIS (LTR25500) within the framework of I3 (Intelligent Interaction Interfaces),</Paragraph>
  </Section>
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