Skip to main content
SpringerLink
Log in

Discovering the Dialog Rules by Means of a Soft Computing Approach

  • Conference paper
  • First Online:
10th International Conference on Soft Computing Models in Industrial and Environmental Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 368))

  • 909 Accesses

Abstract

The current industrial development of commercial dialog systems deploys robust interfaces in strictly defined application domains. However, commercial systems have not yet adopted new perspectives for dialog management proposed in the academic settings, which would allow straightforward adaptation of these interfaces to various application domains. In this paper, we propose a new approach to bridge the gap between the academic and industrial perspectives in order to develop dialog systems using an academic paradigm while employing the industrial standards, which makes it possible to obtain new generation interfaces without the need for changing the already existing commercial infrastructures. Our proposal has been evaluated with a real dialog system providing railway information, which follows our proposed approach to manage the dialog by means of a set of fuzzy rules.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Pieraccini R (2012) The Voice in the Machine: Building Computers That Understand Speech. MIT Press, Massachusetts

    Google Scholar 

  2. McTear M, Callejas Z (2013) Voice Application Development for Android. Packt Publishing, Birmingham

    Google Scholar 

  3. Barnard E, Halberstadt A, Kotelly C, Phillips M (1999) A Consistent Approach To Designing Spoken-dialog Systems. In: Proceedings IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU’99), pp 1173–1176. Keystone, Colorado, USA

    Google Scholar 

  4. Pieraccini R, Huerta J (2005) Where do we go from here? Research and commercial spoken dialog systems. In: Proceedings 6th SIGdial Workshop on Discourse and Dialog, pp 1–10. Lisbon, Portugal

    Google Scholar 

  5. Williams J (2009) The best of both worlds: Unifying conventional dialog systems and pomdps. In: Proceedings International Conference on Spoken Language Processing (InterSpeech’08), pp 1173–1176. Brisbane, Australia

    Google Scholar 

  6. Cohen M, Giangola J, Balough J (2004) Voice User Interface Design. Addison Wesley, Boston

    Google Scholar 

  7. García F, Hurtado L, Sanchis E, Segarra E (2003) The incorporation of confidence measures to language understanding. In: International Conference on Text Speech and Dialogue (TSD’03). LNCS series 2807, pp 165–172. Ceské Budejovice, Czech Republic

    Google Scholar 

  8. Griol D, Carbó J, Molina J (2013) An automatic dialog simulation technique to develop and evaluate interactive conversational agents. Appl Artif Intell 27(9):759–780

    Article  Google Scholar 

  9. Angelov P, Zhou X (2008) Evolving fuzzy-rule-based classifiers from data streams. IEEE Trans Fuzzy Syst 16(6):1462–1475

    Article  Google Scholar 

  10. Ordónez F, Iglesias J, de Toledo P, Ledezma A, Sanchis A (2013) Online activity recognition using evolving classifiers. Expert Syst Appl 40(4):1248–1255

    Article  Google Scholar 

  11. Fraser M, Gilbert G (1991) Simulating speech systems. Comput Speech Lang 5:81–99

    Article  Google Scholar 

  12. Lane I, Ueno S, Kawahara T (2004) Cooperative dialogue planning with user and situation models via example-based training. In: Proceedings of Workshop on Man-Machine Symbiotic Systems, pp 2837–2840. Kyoto, Japan

    Google Scholar 

  13. Griol D, Hurtado L, Segarra E, Sanchis E (2008) A statistical approach to spoken dialog systems design and evaluation. Speech Commun 50(8–9):666–682

    Google Scholar 

  14. Segarra E, Hurtado L (1997) Construction of language models using morfic generator grammatical inference MGGI methodology. In: Proceedings Eurospeech’97, pp 2695–2698

    Google Scholar 

Download references

Acknowledgments

This work was supported in part by Projects MINECO TEC2012-37832-C02-01, CICYT TEC2011-28626-C02-02, CAM CONTEXTS (S2009/TIC-1485).

Author information

Authors and Affiliations

  1. Computer Science Department, Carlos III University of Madrid, Avda. de la Universidad, 30, 28911, Leganés, Spain

    David Griol & José Manuel Molina

Authors
  1. David Griol
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. José Manuel Molina
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to David Griol .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  2. C/ López Bravo 70, Pol. Ind. Villalonquejar, Technological Institute of Castilla y León, Burgos, Spain

    Javier Sedano

  3. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Bruno Baruque

  4. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Griol, D., Molina, J. (2015). Discovering the Dialog Rules by Means of a Soft Computing Approach. In: Herrero, Á., Sedano, J., Baruque, B., Quintián, H., Corchado, E. (eds) 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 368. Springer, Cham. https://doi.org/10.1007/978-3-319-19719-7_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19719-7_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19718-0

  • Online ISBN: 978-3-319-19719-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation