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Adaptivity and Response Generation in a Spoken Dialogue System

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Book cover Current and New Directions in Discourse and Dialogue

Part of the book series: Text, Speech and Language Technology ((TLTB,volume 22))

Abstract

The paper addresses the issue of how to increase adaptivity in response generation for a spoken dialogue system. Realization strategies for dialogue responses depend on communicative confidence levels and interaction management goals. We first describe a Java/XML-based generator which produces different realizations of system responses based on agendas specified by the dialogue manager. We then discuss how greater adaptivity can be achieved by using a set of distinct generator agents, each of which is specialized in its realization strategy (e.g. highly elliptical or highly explicit). This allows a simpler design of each generator agent, while increasing the overall system adaptivity to meet the requirements for flexible cooperation in incremental and immediate interactive situations.

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References

  • Allwood, J. (1976). Linguistic Communication as Action and Cooperation. Department of Linguistics, University of Geteborg. Gothenburg Monographs in Linguistics 2.

    Google Scholar 

  • Apache XML Project (2001). Xalan-Java. http://xral.apache.org/xalan-j/.

    Google Scholar 

  • Carlson, L. (1988). Questions of identity in discourse. In Meyer, M., editor, Questions and Questioning, pages 144–181. Walter de Gruyter, Berlin.

    Google Scholar 

  • Cawsey, A. (2000). Presenting tailored resource descriptions: Will XSLT do the job? In 9th International World Wide Web Conference. http://www9.org/w9cdrora/.

  • Chafe, W. (1976). Givenness, contrastiveness, definiteness, subjects, and topics. In Li, C., editor, Subject and Topic. Academic Press.

    Google Scholar 

  • Danieli, M. and Gerbino, E. (1995). Metrics for evaluating dialogue strategies in a spoken language system. In Proceedings of the AAAI Spring Symposium on Empirical Methods in Discourse Interpretation and Generation, pages 34–39.

    Google Scholar 

  • Deemter, K. v., Krahraer, E., and Theune, M. (1999). Plan-based vs. template-based NLG: A false opposition? In Becker and Busemann (1999), pages 1–5.

    Google Scholar 

  • Jokinen, K. (2000). Learning dialogue systems. In Dybkjaer, L., editor, LREC 2000 Workshop: From Spoken Dialogue to Full Natural Interactive Dialogue — Theory, Empirical Analysis and Evaluation, pages 13–17, Athens.

    Google Scholar 

  • Jokinen, K. (2001). The Interact project. Elsnews, 10.2:10.

    Google Scholar 

  • Jokinen, K., Hurtig, T., Kevin Hynna, Kanto, K., Kaipainen, M., and Kerminen, A. (2001). Self-organizing dialogue management. In Proceedings of 2nd Workshop on NLP and Neural Networks, NLPRS-2001, Tokyo.

    Google Scholar 

  • Jokinen, K., Tanaka, H., and Yokoo, A. (1998). Planning dialogue contributions with new information. In Proceedings of the Ninth International Workshop on Natural Language Generation, pages 158–167, Niagara-on-the-Lake, Ontario.

    Google Scholar 

  • Kume, M., Sato, G. K., and Yoshimoto, K. (1989). A descriptive framework for translating speaker’s meaning: Towards a dialogue translation system between Japanese and English. In Fourth Conference of the European Chapter of the Association for Computational Linguistics, pages 264–271, Manchester.

    Google Scholar 

  • Kuppevelt, J. v. (1991). Topic en Comment. Expliciete en Impliciete Vraagstelling in Discourse. PhD thesis, University of Nijmegen.

    Google Scholar 

  • Litman, D. and Pan, S. (2000). Predicting and adapting to poor speech recognition in a spoken dialogue system. In Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI-2000), pages 722–728, Austin, TX.

    Google Scholar 

  • Moore, J. (1995). Participating in Explanatory Dialogues. MIT Press.

    Google Scholar 

  • Reiter, E. and Dale, R. (2000). Building Natural Language Generation Systems. Cambridge University Press.

    Google Scholar 

  • Theune, M. (2000). From Data to Speech: Language Generation in Context. PhD thesis, Eindhoven University of Technology.

    Google Scholar 

  • Traum, D. and Allen, J. F. (1994). Discourse obligations in dialogue processing. In 32nd Annual Meeting of the Association for Computational Linguistics, pages 1–8, Las Cruces.

    Google Scholar 

  • Turunen, M. and Hakulinen, J. (2000). Jaspis — a framework for multilingual adaptive speech applications. In Proceedings of 6th International Conference on Spoken Language Processing, Beijing.

    Google Scholar 

  • VoiceXML Forum (2000). Voice extensible Markup Language VoiceXML, Version 1.00. http://www.voicexml.org/spec.html.

    Google Scholar 

  • Walker, M., Litman, D., Kamm, C., and Abella, A. (1998). Evaluating spoken dialogue agents with PARADISE: Two case studies. Computer Speech and Language, 12–3.

    Google Scholar 

  • Wilcock, G. (2001). Pipelines, templates and transformations: XML for natural language generation. In Proceedings of the 1st NLP and XML Workshop, pages 1–8, Tokyo.

    Google Scholar 

  • Wilcock, G. and Jokinen, K. (2001). Design of a generation component for a spoken dialogue system. In Proceedings of the 6th Natural Language Processing Pacific Rim Symposium (NLPRS-2001), pages 545–550, Tokyo.

    Google Scholar 

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Jokinen, K., Wilcock, G. (2003). Adaptivity and Response Generation in a Spoken Dialogue System. In: van Kuppevelt, J., Smith, R.W. (eds) Current and New Directions in Discourse and Dialogue. Text, Speech and Language Technology, vol 22. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0019-2_10

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  • DOI: https://doi.org/10.1007/978-94-010-0019-2_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-1615-8

  • Online ISBN: 978-94-010-0019-2

  • eBook Packages: Springer Book Archive

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