Skip to main content
SpringerLink
Log in

Granularity for explanation

  • Posters (Extended Abstracts)
  • Conference paper
  • First Online:
Book cover Progress in Artificial Intelligence (EPIA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1323))

Included in the following conference series:

Abstract

Most people would agree that a formalisation of granularity in natural language should involve notions of abstraction and detail. However in reality, this concept has proved difficult to capture formally. In this paper we examine the role of granularity in constructing explanations. This role is clarified by providing several dimensions along which any explanation task can be characterised. We argue that a combination of these dimensions can be used to define a notion of coherence in texts. This notion of coherence gives rise to search heuristics when solving nontrivial language engineering problems such as reference resolution.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Eugene Charniak and Drew McDermott. Introduction To Artificial Intelligence. Addison-Wesley, 1985.

    Google Scholar 

  2. Jerry R. Hobbs, Mark E. Stickel, Douglas E Appels, and Paul Martin. Intrepretation as abduction. Artificial Intelligence, 63:69–142, 1993.

    Google Scholar 

  3. David B. Leake. Focusing construction and selection of abductioe hypotheses. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, pages 24–29, Chambéry, France, 1993.

    Google Scholar 

  4. Derek Long and Roberto Garigliano. Reasoning by Analogy and Causality: A model and application. Artificial Intelligence. Ellis Horwood, 1994.

    Google Scholar 

  5. Richard Morgan, Roberto Garigliano, Paul Callaghan, Sanjay Poria, Mark Smith, Agnieszka Urbanowicz, Russell Collingham, Marco Costantino, Chris Cooper, and the LOLITA Group. Description of the lolita system as used in muc-6. In The Sixth Message Understanding Conference, pages 71–87, Nov 1995.

    Google Scholar 

  6. R. C. Schank and R. P. Abelson. Scripts, Plans, Goals and Understanding. Erlbaum, 1977.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Durham, DH1 3LE, South Road, Durham, UK

    Sanjay Poria & Roberto Garigliano

Authors
  1. Sanjay Poria
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Roberto Garigliano
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Ernesto Coasta Amilcar Cardoso

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Poria, S., Garigliano, R. (1997). Granularity for explanation. In: Coasta, E., Cardoso, A. (eds) Progress in Artificial Intelligence. EPIA 1997. Lecture Notes in Computer Science, vol 1323. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0023936

Download citation

  • DOI: https://doi.org/10.1007/BFb0023936

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63586-4

  • Online ISBN: 978-3-540-69605-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation