Skip to main content

Natural Intelligence – Commonsense Question Answering with Conceptual Graphs

  • Conference paper
Conceptual Structures: From Information to Intelligence (ICCS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6208))

Included in the following conference series:

Abstract

Natural Intelligence (NI) is a question answering system based on Combinatory Categorial Grammar (CCG) as the theory of grammar and Conceptual Graphs (CG) for knowledge representation and reasoning. CCG is a lexicalized theory of grammar and very suitable for semantic analysis. Conceptual Graphs is a special kind of semantic network which can express full first-order logic. It aims to address the problem of commonsense reasoning in question answering, by using the state of the art tools such as C&C tools, Cogitant and Open Cyc. C&C tools are used for parsing natural language, Cogitant is used for Conceptual Graph operations, and Open Cyc is used for upper ontology and commonsense handling.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. McCarthy, J.: Some Expert Systems Need Common Sense. Annals of the New York Academy of Sciences 426(1), 129–137 (1984) (Computer Cult)

    Article  MathSciNet  Google Scholar 

  2. Bos, J., Clark, S., Steedman, M., Curran, J.R., Hockenmaier, J.: Wide-Coverage Semantic Representations from a CCG Parser. In: Proceedings of the 20th International Conference on Computational Linguistics (COLING 2004), Geneva, Switzerland, pp. 1240–1246 (2004)

    Google Scholar 

  3. Steedman, M.: The Syntactic Process. MIT Press, Cambridge (2000)

    Google Scholar 

  4. Curran, J.R., Clark, S., Bos, J.: Linguistically Motivated Large-Scale NLP with C&C and Boxer. In: Proceedings of the ACL 2007 Demonstrations Session (ACL 2007 demo), pp. 29–32 (2007)

    Google Scholar 

  5. Sowa, J.F.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Reading (1984)

    MATH  Google Scholar 

  6. Sowa, J.F.: Knowledge Representation: Logical, Philosophical, and Computational Foundations. Brooks/Cole, Pacific Grove (2000)

    Google Scholar 

  7. Hockenmaier, J.: Data and Models for Statistical Parsing with Combinatory Categorial Grammar. Ph.D. thesis, University of Edinburgh (2003)

    Google Scholar 

  8. Clark, S., Curran, J.R.: Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models. Computational Linguistics 33(4) (2007)

    Google Scholar 

  9. Peirce, C.S.: Manuscripts on existential graphs. In: Collected Papers of Charles Sanders Peirce, vol. 4, pp. 320–410. Harvard University Press, Cambridge (1906)

    Google Scholar 

  10. Genest, D., Salvat, E.: A Platform Allowing Typed Nested Graphs: How CoGITo Became CoGITaNT. In: Mugnier, M.-L., Chein, M. (eds.) ICCS 1998. LNCS (LNAI), vol. 1453, p. 154. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  11. Chein, M., Mugnier, M.L.: Graph-based Knowledge Representation. Springer, Heidelberg (2009)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Güler, F.M., Birturk, A. (2010). Natural Intelligence – Commonsense Question Answering with Conceptual Graphs. In: Croitoru, M., Ferré, S., Lukose, D. (eds) Conceptual Structures: From Information to Intelligence. ICCS 2010. Lecture Notes in Computer Science(), vol 6208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14197-3_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14197-3_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14196-6

  • Online ISBN: 978-3-642-14197-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics