Skip to main content

A Dempster-Shafer Theoretic Approach to Understanding Indirect Speech Acts

Part of the Lecture Notes in Computer Science book series (LNAI,volume 8864)

Abstract

Understanding Indirect Speech Acts (ISAs) is an integral function of human understanding of natural language. Recent attempts at understanding ISAs have used rule-based approaches to map utterances to deep semantics. While these approaches have been successful in handling a wide range of ISAs, they do not take into account the uncertainty associated with the utterance’s context, or the utterance itself. We present a new approach for understanding ISAs using the Dempster-Shafer theory of evidence and show how this approach increases the robustness of ISA inference by (1) accounting for uncertain implication rules and context, (2) fluidly adapting rules given new information, and (3) enabling better modeling of the beliefs of other agents.

Keywords

  • Speech act theory
  • Intention understanding
  • Dempster-Shafer theory

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-12027-0_12
  • Chapter length: 13 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   84.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-12027-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   109.99
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Briggs, G., Scheutz, M.: A hybrid architectural approach to understanding and appropriately generating indirect speech acts. In: Proceedings of the 27th AAAI Conference on Artificial Intelligence (July 2013)

    Google Scholar 

  2. Brown, P.: Politeness: Some Universals in Language Usage, vol. 4. Cambridge University Press (1987)

    Google Scholar 

  3. Chien, A.Y.-H., Soo, V.-W.: Inferring pragmatics from dialogue contexts in simulated virtual agent games. In: Beer, M., Brom, C., Dignum, F., Soo, V.-W. (eds.) AEGS 2011. LNCS, vol. 7471, pp. 123–138. Springer, Heidelberg (2012)

    CrossRef  Google Scholar 

  4. Fagin, R., Halpern, J.Y.: A new approach to updating beliefs. In: Uncertainty in Artificial Intelligence. pp. 347–374. Elsevier Science Publishers (1991)

    Google Scholar 

  5. Hinkelman, E.A., Allen, J.F.: Two constraints on speech act ambiguity. In: Proceedings of the 27th annual meeting on Association for Computational Linguistics. pp. 212–219. Association for Computational Linguistics (1989)

    Google Scholar 

  6. Núñez, R.C., Dabarera, R., Scheutz, M., Briggs, G., Bueno, O., Premaratne, K., Murthi, M.N.: DS-Based Uncertain Implication Rules for Inference and Fusion Applications. In: 16th International Conference on Information Fusion (July 2013)

    Google Scholar 

  7. Núñez, R.C., Scheutz, M., Premaratne, K., Murthi, M.N.: Modeling Uncertainty in First-Order Logic: A Dempster-Shafer Theoretic Approach. In: Proceedings of the 8th Int. Symposium on Imprecise Probability: Theories and Applications (July 2013)

    Google Scholar 

  8. Pearl, J.: Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan Kaufmann Publishers Inc., San Francisco (1988)

    Google Scholar 

  9. Perrault, C.R., Allen, J.F.: A plan-based analysis of indirect speech acts. Computational Linguistics 6(3–4), 167–182 (1980)

    Google Scholar 

  10. Pinker, S., Nowak, M.A., Lee, J.J.: The logic of indirect speech. Proceedings of the National Academy of Sciences 105(3), 833–838 (2008)

    CrossRef  Google Scholar 

  11. Premaratne, K., Murthi, M.N., Zhang, J., Scheutz, M., Bauer, P.H.: A Dempster-Shafer theoretic conditional approach to evidence updating for fusion of hard and soft data. In: 12th Int. Conf. on Information Fusion, pp. 2122–2129 (July 2009)

    Google Scholar 

  12. Searle, J.R.: Indirect speech acts. Syntax and semantics 3, 59–82 (1975)

    Google Scholar 

  13. Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press (1976)

    Google Scholar 

  14. Tang, Y., Hang, C.W., Parsons, S., Singh, M.P.: Towards argumentation with symbolic Dempster-Shafer evidence. In: COMMA, pp. 462–469 (2012)

    Google Scholar 

  15. Wilske, S., Kruijff, G.J.: Service robots dealing with indirect speech acts. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4698–4703. IEEE (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tom Williams .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Williams, T., Núñez, R.C., Briggs, G., Scheutz, M., Premaratne, K., Murthi, M.N. (2014). A Dempster-Shafer Theoretic Approach to Understanding Indirect Speech Acts. In: Bazzan, A., Pichara, K. (eds) Advances in Artificial Intelligence -- IBERAMIA 2014. IBERAMIA 2014. Lecture Notes in Computer Science(), vol 8864. Springer, Cham. https://doi.org/10.1007/978-3-319-12027-0_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-12027-0_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12026-3

  • Online ISBN: 978-3-319-12027-0

  • eBook Packages: Computer ScienceComputer Science (R0)