Skip to main content

Agent-Based Solutions for Natural Language Generation Tasks

  • Conference paper
Book cover Current Topics in Artificial Intelligence (CAEPIA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4177))

Included in the following conference series:

  • 815 Accesses

Abstract

When building natural language generation applications it is desireable to have the possibility of assembling modules that use different techniques for each one of the specific generation tasks. This paper presents an agent-based module for referring expression generation and aggregation, implemented within the framework of a generic architecture for implementing multi-agent systems: Open Agent Architecture.

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. Reiter, E., Dale, R.: Building Natural Language Generation Systems. Cambridge University Press, Cambridge (2000)

    Book  Google Scholar 

  2. Goldberg, E., Driedger, N., Kittredge, R.: Using natural-language processing to produce weather forecasts. IEEE Expert: Intelligent Systems and Their Applications 9, 45–53 (1994)

    Google Scholar 

  3. Callaway, C., Lester, J.: Narrative prose generation. In: Proceedings of the 17th IJCAI, Seattle, WA, pp. 1241–1248 (2001)

    Google Scholar 

  4. DeSmedt, K., Horacek, H., Zock, M.: Architectures for natural language generation: Problems and perspectives. In: Adorni, G., Zock, M. (eds.) EWNLG 1993. LNCS, vol. 1036, pp. 17–46. Springer, Heidelberg (1996)

    Google Scholar 

  5. Ferber, J.: Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence. Addison-Wesley Longman Publishing Co., Inc, Boston, MA (1999)

    Google Scholar 

  6. Reiter, E., Dale, R.: A fast algorithm for the generation of referring expressions. In: Proceedings of the 14th conference on Computational linguistics, Nantes, France (1992)

    Google Scholar 

  7. Kibble, R., Power, R.: An integrated framework for text planning and pronominalization. In: Proc. of the International Conference on Natural Language Generation (INLG), Israel (2000)

    Google Scholar 

  8. Palomar, M., Ferrández, A., Moreno, L., Martínez-Barco, P., Peral, J., Saiz-Noeda, M., Muñoz, R.: An algorithm for anaphora resolution in spanish text. Computational Linguistics 27, 545–567 (2001)

    Article  Google Scholar 

  9. Reape, M., Mellish, C.: Just what is aggregation anyway? In: Proceedings of the 7th EWNLG, Toulouse, France (1999)

    Google Scholar 

  10. Martin, D.L., Cheyer, A.J., Moran, D.B.: The open agent architecture: A framework for building distributed software systems. Applied Artificial Intelligence 13, 91–128 (1999)

    Article  Google Scholar 

  11. Gervás, P., Díaz-Agudo, B., Peinado, F., Hervás, R.: Story plot generation based on CBR. In: Macintosh, A., Ellis, R., Allen, T. (eds.) 12th Conference on Applications and Innovations in Intelligent Systems, Cambridge, UK. WICS, Springer, Heidelberg (2004)

    Google Scholar 

  12. Hervás, R., Gervás, P.: Uso flexible de soluciones evolutivas para tareas de generaci ón de lenguaje natural. Procesamiento de Lenguaje Natural 35, 187–194 (2005)

    Google Scholar 

  13. Reiter, E.: Has a consensus NL generation architecture appeared, and is it psychologically plausible? In: McDonald, D., Meteer, M. (eds.) Proceedings of the 7th. IWNLG ’94, Kennebunkport, Maine, pp. 163–170 (1994)

    Google Scholar 

  14. García, C., Hervás, R., Gervás, P.: Una arquitectura software para el desarrollo de aplicaciones de generación de lenguaje natural. Procesamiento de Lenguaje Natural 33, 111–118 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hervás, R., Gervás, P. (2006). Agent-Based Solutions for Natural Language Generation Tasks. In: Marín, R., Onaindía, E., Bugarín, A., Santos, J. (eds) Current Topics in Artificial Intelligence. CAEPIA 2005. Lecture Notes in Computer Science(), vol 4177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881216_12

Download citation

  • DOI: https://doi.org/10.1007/11881216_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45914-9

  • Online ISBN: 978-3-540-45915-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics