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Robot Intelligence Technology and Applications 2012 pp 901–910Cite as

Understanding and Processing Information of Various Grain Sizes

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 208))

Abstract

This paper explores the ideas of humor communication with robots buy issuing commands in natural language. Special attention is being paid to vague commands and similar commands and whether it is possible for a robot to process them. The paper discusses various aspects of similarity of information in general as well as in relation to a particular physical capability that a robot may or may not have. All aspects are addressed on the Ontological Semantic Technology foundation.

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References

  1. Allan, J., Carbonell, J., Doddington, G., Yamron, J., Yung, Y.: Topic detection and tracking pilot study: Final report. In: Proc. DARPA Broadcast News Transcription and Understanding Workshop, pp. 194–218 (1998a)

    Google Scholar 

  2. Allan, J., Gupta, R., Khandelwal, V.: Temporal summaries of news topics. In: Proc. SIGIR 2001, pp. 10–18 (2001)

    Google Scholar 

  3. Allan, J., Lavrenko, V., Jin, H.: First story detection in TDT is hard. In: Proc. CIKM 2000, pp. 374–381 (2000)

    Google Scholar 

  4. Allan, J., Papka, R., Lavrenko, V.: On-line new event detection and tracking. In: Proc. SIGIR 1998, pp. 37–45 (1998b)

    Google Scholar 

  5. Barzilay, R., McKeown, K.: Extracting paraphrases from a parallel corpus. In: Proc. 39th Annual Meeting of the Association for Computational Linguistics, pp. 50–57 (2001)

    Google Scholar 

  6. Bouamor, H., Max, A., Vilnat, A.: Comparison of paraphrase acquisition techniques on sentential paraphrases. In: Loftsson, H., Rögnvaldsson, E., Helgadóttir, S. (eds.) IceTAL 2010. LNCS, vol. 6233, pp. 67–78. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  7. Carston, R.: A note on pragmatic principles of least effort. UCL Working Papers in Linguistics (17), 271–278 (2005)

    Google Scholar 

  8. DARPA, Proc. DARPA Broadcast News Workshop, Herndon, VA (1999)

    Google Scholar 

  9. Davies, C.: Over-Informativeness in Referential Communication. Ph.D. Dissertation, Cambridge University, Cambridge, UK (2011)

    Google Scholar 

  10. Dolan, W.B., Quirk, C., Brockett, C.: Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources. In: Proc. COLING 2004 (2004)

    Google Scholar 

  11. Giora, R.: On Our Mind: Salience, Context, and Figurative Language. Oxford University Press, New York (2003)

    Book  Google Scholar 

  12. Grice, H.P.: Logic and conversation. In: Cole, P., Morgan, J. (eds.) Syntax and Semantics, 3: Speech Acts, pp. 41–58. Academic Press, New York (1975); Reprinted in Grice, H. P.: Studies in the Way of Words, pp. 22–40. Harvard University Press, Cambridge (1989)

    Google Scholar 

  13. Harris, Z.: Distributional structure. In: Katz, J.J. (ed.) The Philosophy of Linguistics, pp. 26–47. Oxford University Press, New York (1985)

    Google Scholar 

  14. Hempelmann, C.F., Taylor, J.M., Raskin, V.: Application-guided ontological engineering. In: Proc. ICAI-2010: International Conference on Artificial Intelligence, Las Vegas, NE (2010)

    Google Scholar 

  15. Horn, L.: Implicature. In: Horn, L., Ward, G. (eds.) The Handbook of Pragmatics, pp. 3–28. Blackwell, Oxford (2004)

    Google Scholar 

  16. Kotlerman, L., Dagan, I., Szpektor, I., Zhitomirsky-Geffet, M.: Directional distributional similarity for lexical inference. Natural Language Engineering 16(4), 359–389 (2010)

    Article  Google Scholar 

  17. Kumaran, G., Allan, J.: Text classification and named entities for new event detection. In: SIGIR 2004, pp. 297–304 (2004)

    Google Scholar 

  18. Levinson, S.: Presumptive Meanings. MIT Press, Cambridge (2000)

    Google Scholar 

  19. Lin, D., Pantel, P.: DIRT – discovery of inference rules from text. In: Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, San Francisco, CA, pp. 323–328 (2001a)

    Google Scholar 

  20. Lin, D., Pantel, P.: Discovery of inference rules for question answering. Natural Language Engineering 7(4), 343–360 (2001b)

    Article  Google Scholar 

  21. Luo, G., Tang, C., Yu, P.S.: Resource-adaptive real-time new event detection. In: Proc. SIGMOD 2007, Beijing, China, June 11-14 (2007)

    Google Scholar 

  22. Nirenburg, S., Raskin, V.: Ontological Semantics. MIT Press, Cambridge (2004)

    Google Scholar 

  23. NIST, topic detection and tracking evaluation project, TDT3 (1999)

    Google Scholar 

  24. Raskin, V., Hempelmann, C.F., Taylor, J.M.: Guessing vs. knowing: The two approaches to semantics in natural language processing. In: Kibrik, A.E. (ed.) Proceedings of Annual International Conference Dialogue. AABBY/Yandex, Moscow, Russia (2010a)

    Google Scholar 

  25. Rus, V., McCarthy, P.M., Lintean, M.C., McNamara, D.S., Graesser, A.C.: Paraphrase identification with lexico-syntactic graph submission. In: Proc. AAAI 2008 (2008)

    Google Scholar 

  26. Schiffman, B., McKeown, K.R.: Context and learning in novelty detection. In: Proc. TREC 2005 (2005)

    Google Scholar 

  27. Taylor, J.M., Raskin, V.: Fuzzy ontology for natural language, Proc. NAFIPS 2010 (2010)

    Google Scholar 

  28. Taylor, J.M., Raskin, V.: Graph decomposition and its use for ontology verification and semantic representation. In: Intelligent Linguistic Technologies Workshop at International Conference on Artificial Intelligence, Las Vegas, NE (July 2011a)

    Google Scholar 

  29. Taylor, J.M., Raskin, V.: Understanding the unknown: Unattested input processing in natural language. In: FUZZ-IEEE Conference, Taipei, Taiwan (June 2011b)

    Google Scholar 

  30. Taylor, J.M., Raskin, V.: Working Paper on Informativeness and Novelty. Technical Report 2011-84, CERIAS, Purdue University (2011c)

    Google Scholar 

  31. Taylor, J.M., Raskin, V., Hempelmann, C.F.: On an automatic acquisition toolbox for ontologies and lexicons in Ontological Semantics. In: Proc. ICAI-2010: International Conference on Artificial Intelligence, Las Vegas, NE (2010a)

    Google Scholar 

  32. Taylor, J.M., Raskin, V., Stuart, L.M.: Matching human understanding: Syntax and semantics revisited. In: Proc. IEEE SMC 2012, Seoul, Korea (2012)

    Google Scholar 

  33. Thadani, K., McKeown, K.: A framework for decreasing textual redundancy. In: Proc. 22nd International Conference on Computational Linguistics (COLING), Manchester, England (2008)

    Google Scholar 

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Authors and Affiliations

  1. Computer and Information Technology, Purdue University, 401 N. Grant St., West Lafayette, IN, 47906, USA

    Julia M. Taylor

Authors
  1. Julia M. Taylor
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Correspondence to Julia M. Taylor .

Editor information

Editors and Affiliations

  1. , Electrical Engineering and Computer Sci., KAIST, 291 Daehak-ro, Daejeon, 305-701, Korea, Republic of (South Korea)

    Jong-Hwan Kim

  2. Dept. Computer &, Information Technology (ICT), Purdue University, N. Grant St. 401, West Lafayette, 47907-1421, Indiana, USA

    Eric T. Matson

  3. , Dept. of Civil and Environmental Engg., KAIST, Daehak-ro 291, Daejeon, 305-701, Korea, Republic of (South Korea)

    Hyun Myung

  4. , Faculty of Engineering, The University of Auckland, Private Bag, Auckland, 1142, New Zealand

    Peter Xu

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Taylor, J.M. (2013). Understanding and Processing Information of Various Grain Sizes. In: Kim, JH., Matson, E., Myung, H., Xu, P. (eds) Robot Intelligence Technology and Applications 2012. Advances in Intelligent Systems and Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37374-9_87

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  • DOI: https://doi.org/10.1007/978-3-642-37374-9_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37373-2

  • Online ISBN: 978-3-642-37374-9

  • eBook Packages: EngineeringEngineering (R0)

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