Skip to main content

A Novel Method to Compute English Verbs’ Metaphor Making Potential in SUMO

  • Conference paper
  • First Online:
  • 972 Accesses

Abstract

A general practice in research of metaphor has been to investigate metaphor’s application and computation based on its behavior and function in different contexts. This paper investigates the postulate of verb’s built-in property of Metaphor Making Potential (MMP), thus being an initiatory context-free experiment with metaphor. A case study of a selected group of English core verbs has been conducted. A new algorithm is proposed to operationalize the assessment of English verb’s MMP in the framework of WordNet and SUMO. A hypothesis is set up to testify the validity of verb’s MMP.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zhou Changle, Yang Yun, Huang Xiaoxi. Computational mechanisms for metaphor in languages: a survey. Journal of Computer Science and Technology, vol.22, no.2, pp.308–319. 2007.

    Article  Google Scholar 

  2. Ahrens K, Huang C R, Chung S F. Conceptual metaphors: Ontology-based representation and corpora driven mapping principles. In Proc. ACL Workshop on Lexicon and Figurative Language, Sapporo, Japan. pp.35–41. 2003

    Google Scholar 

  3. Ahrens k. When love is not digested: Underlying reasons for source to target domain pairing in the contemporary theory of metaphor. In Proc. 1st Cognitive Linguistics Conference, Taipei, pp.273–302. 2002

    Google Scholar 

  4. Lakoff G. and Johnson M. Metaphors we live by. Chicago: The University of Chicago Press. 1980

    Google Scholar 

  5. Lakoff G. The Contemporary Theory of Metaphor. Metaphor and Thought, 2nd Edition. Cambridge: Cambridge University Press, Ortony A (ed.), pp.202–251. 1993

    Google Scholar 

  6. Viberg, A.: Crosslinguistic perspectives on lexical organization and lexical progression. In Hyltenstam, K. & Viberg, A. (eds.), Progression & Regression in Language: Sociocultural, Neuropsychological, & Linguistic Perspectives. Cambridge University Press, 340–385. 1993

    Google Scholar 

  7. Niles, I., and Pease, A. Towards a Standard Upper Ontology. In Proceedings of the 2nd International Conference on Formal Ontology in Information Systems (FOIS-2001), Chris Welty and Barry Smith, eds, Ogunquit, Maine, October 17-19, 2001.

    Google Scholar 

  8. Pease, A., Niles, I., and Li, J. The Suggested Upper Merged Ontology: A Large Ontology for the Semantic Web and its Applications. In Working Notes of the AAAI-2002 Workshop on Ontologies and the Semantic Web, Edmonton, Canada, July 28-August 1, 2002.

    Google Scholar 

  9. Ian C Chow, Jonathan J Webster, Mapping FrameNet and SUMO with WordNet Verb: Statistical Distribution of Lexical-Ontological Realization, micai, pp. 262–268, Fifth Mexican International Conference on Artificial Intelligence (MICAI’06), 2006.

    Google Scholar 

  10. D. Lin. An information-theoretic definition of similarity. In Proceedings of the International Conference on Machine Learning, Madison, August. 1998

    Google Scholar 

  11. Z. Wu and M. Palmer. Verb semantics and lexical selection. In 32nd Annual Meeting of the Association for Computational Linguistics, Las Cruces, New Mexico, pages 133–138. 1994

    Google Scholar 

  12. http://sigma.ontologyportal.org:4010/sigma/KBs.jsp

  13. Kendall, M.G.. Rank Correlation Methods. Hafner, 145 pp. 1962

    Google Scholar 

  14. Levin Beth. English Verb Class and Alternations: A Preliminary Investigation. Chicago: University of Chicago Press. 1993

    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 Science+Business Media B.V.

About this paper

Cite this paper

Chen, Z., Webster, J.J., Chow, I.C. (2010). A Novel Method to Compute English Verbs’ Metaphor Making Potential in SUMO. In: Sobh, T. (eds) Innovations and Advances in Computer Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3658-2_42

Download citation

  • DOI: https://doi.org/10.1007/978-90-481-3658-2_42

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-3657-5

  • Online ISBN: 978-90-481-3658-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics