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In Context: Integrating Domain- and Situation-Specific Knowledge

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SmartKom: Foundations of Multimodal Dialogue Systems

Part of the book series: Cognitive Technologies ((COGTECH))

Summary

We describe the role of context models in natural language processing systems and their implementation and evaluation in the SmartKom system. We show that contextual knowledge is needed for an ensemble of tasks, such as lexical and pragmatic disambiguation, decontextualizion of domain and common-sense knowledge that was left implicit by the user and for estimating an overall coherence score that is used in intention recognition. As the successful evaluations show, the implemented context model enables a multicontext system, such as SmartKom, to respond felicitously to contextually underspecified questions. This ability constitutes an important step toward making dialogue systems more intuitively usable and conversational without losing their reliability and robustness.

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Author notes

  1. Iryna Gurevych

    Present address: EML Research gGmbH, Germany

Authors and Affiliations

  1. European Media Laboratory GmbH, Heidelberg, Germany

    Robert Porzel, Iryna Gurevych & Rainer Malaka

Authors
  1. Robert Porzel
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  2. Iryna Gurevych
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  3. Rainer Malaka
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Editors and Affiliations

  1. German Research Center for AI, DFKI GmbH, Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany

    Wolfgang Wahlster

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© 2006 Springer-Verlag Berlin Heidelberg

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Porzel, R., Gurevych, I., Malaka, R. (2006). In Context: Integrating Domain- and Situation-Specific Knowledge. In: Wahlster, W. (eds) SmartKom: Foundations of Multimodal Dialogue Systems. Cognitive Technologies. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-36678-4_18

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  • DOI: https://doi.org/10.1007/3-540-36678-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23732-7

  • Online ISBN: 978-3-540-36678-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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