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Abductive Reasoning for Continual Dialogue Understanding

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New Directions in Logic, Language and Computation (ESSLLI 2010, ESSLLI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7415))

Abstract

In this paper we present a continual context-sensitive abductive framework for understanding situated spoken natural dialogue. The framework builds up and refines a set of partial defeasible explanations of the spoken input, trying to infer the speaker’s intention. These partial explanations are conditioned on the eventual verification of the knowledge gaps they contain. This verification is done by executing test actions, thereby going beyond the initial context. The approach is illustrated by an example set in the context of human-robot interaction.

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References

  1. Areces, C.: Logic Engineering: The Case of Description and Hybrid Logics. Ph.D. thesis, University of Amsterdam, The Netherlands (2000)

    Google Scholar 

  2. Areces, C., Blackburn, P.: Bringing them all together. Journal of Logic and Computation 11(5), 657–669 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  3. Baldoni, M., Giordano, L., Martelli, A.: A modal extension of logic programming: Modularity, beliefs and hypothetical reasoning. J. Log. Comp. 8(5), 597–635 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  4. Baldoni, M., Giordano, L., Martelli, A., Patti, V.: A modal programming language for representing complex actions. In: Proc. of DYNAMICS 1998, pp. 1–15 (1998)

    Google Scholar 

  5. Baldridge, J., Kruijff, G.J.M.: Coupling CCG and Hybrid Logic Dependency Semantics. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, ACL (2002)

    Google Scholar 

  6. Blackburn, P.: Representation, reasoning, and relational structures: a hybrid logic manifesto. Logic Journal of the IGPL 8(3), 339–625 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  7. Bratman, M.: Intentions, Plans, and Practical Reason. Harvard University Press, Cambridge (1987)

    Google Scholar 

  8. Brenner, M., Nebel, B.: Continual planning and acting in dynamic multiagent environments. Journal of Autonomous Agents and Multiagent Systems (2008)

    Google Scholar 

  9. Charniak, E., Shimony, S.E.: Probabilistic semantics for cost based abduction. In: AAAI 1990 Proceedings (1990)

    Google Scholar 

  10. Cohen, P.R., Levesque, H.J.: Intention is choice with commitment. Artificial Intelligence 42, 213–261 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  11. Fann, K.T.: Peirce’s Theory of Abduction. Mouton, The Hague (1970)

    Book  Google Scholar 

  12. Grice, H.P.: Meaning. The Philosophical Review 66(3), 377–388 (1957)

    Article  Google Scholar 

  13. Hobbs, J.R., Stickel, M.E., Appelt, D.E., Martin, P.A.: Interpretation as abduction. Artificial Intelligence 63(1-2), 69–142 (1993)

    Article  Google Scholar 

  14. Kamp, H., Reyle, U.: From Discourse to Logic. Kluwer, Dordrecht (1993)

    Book  Google Scholar 

  15. Kate, R.J., Mooney, R.J.: Probabilistic abduction using Markov logic networks. In: Proceedings of the IJCAI 2009 Workshop on Plan, Activity, and Intent Recognition (PAIR 2009), Pasadena, CA, USA (2009)

    Google Scholar 

  16. Kruijff, G.J.M.: A Categorial-Modal Logical Architecture of Informativity: Dependency Grammar Logic & Information Structure. Ph.D. thesis, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic (2001)

    Google Scholar 

  17. Moens, M., Steedman, M.: Temporal ontology and temporal reference. Computational Linguistics 14(2), 15–28 (1988)

    Google Scholar 

  18. Poole, D.: Probabilistic Horn abduction and Bayesian networks. Artificial Intelligence 64(1), 81–129 (1993)

    Article  MATH  Google Scholar 

  19. Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice Hall, Upper Saddle River (2003)

    Google Scholar 

  20. Schiffer, S.R.: Meaning. Clarendon Press, Oxford (1972)

    Google Scholar 

  21. Sgall, P., Hajičová, E., Panevová, J.: The Meaning of the Sentence in Its Semantic and Pragmatic Aspects. Reidel Publishing Company, Academia, Dordrecht, Prague (1986)

    Google Scholar 

  22. Stickel, M.E.: A Prolog-like inference system for computing minimum-cost abductive explanations in natural-language interpretation. Annals of Mathematics and Artificial Intelligence 4, 89–105 (1991)

    Article  MATH  Google Scholar 

  23. Stone, M., Thomason, R.H.: Context in abductive interpretation. In: Proceedings of EDILOG 2002: 6th Workshop on the Semantics and Pragmatics of Dialogue (2002)

    Google Scholar 

  24. Stone, M., Thomason, R.H.: Coordinating understanding and generation in an abductive approach to interpretation. In: Proceedings of DIABRUCK 2003: 7th Workshop on the Semantics and Pragmatics of Dialogue (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. German Research Center for Artificial Intelligence (DFKI), Stuhlsatzenhausweg 3, D-66123, Saarbrücken, Germany

    Miroslav Janíček

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  1. Miroslav Janíček
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Editor information

Editors and Affiliations

  1. Department of Psychology, Stanford University, 420 Jordan Hall, 450 Serra Mall, 94305, Stanford, CA, USA

    Daniel Lassiter

  2. University of Luxembourg, 6, Rue Richard Coudenhove Kalergi, 1359, Luxembourg

    Marija Slavkovik

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Janíček, M. (2012). Abductive Reasoning for Continual Dialogue Understanding. In: Lassiter, D., Slavkovik, M. (eds) New Directions in Logic, Language and Computation. ESSLLI ESSLLI 2010 2011. Lecture Notes in Computer Science, vol 7415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31467-4_2

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  • DOI: https://doi.org/10.1007/978-3-642-31467-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31466-7

  • Online ISBN: 978-3-642-31467-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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