Advertisement

Modeling cause and effect in legal text

  • Judith P. Dick
Knowledge Modeling
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1257)

Abstract

Causative relations in the Palsgraf v. Long Island Railway Co.(1928) 248 N.Y. 339; 162 N.E. 99. case are analysed using John Sowa's conceptual graphs (cgs) and Harold Somers's cases in order to contribute to our knowledge of conceptual relations for use in knowledge representation. The model of causative relations is intended to be adapted for use in other domains using cgs. Our long-term goal is to facilitate automatic extraction of knowledge for intelligent systems retrieving legal information.

Keywords

Conceptual Relation Causal Chain Case Relation Legal Text Semantic Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Black's Law Dictionary rev. 4th ed. West Publishing, St. Paul MI, 1968.Google Scholar
  2. 2.
    S.C. Coval and Joseph C. Smith. Law and Its Presuppositions: Actions, Agents and Rules. Routledge & Kegan Paul, London, 1986.Google Scholar
  3. 3.
    Jim Cowie, and Wendy Lehnen. “Information Extraction.” Communications of the ACM, 39(1), January 1996, 80–91.Google Scholar
  4. 4.
    Judith P. Dick. A Conceptual, Case-Relation Representation of Text for Intelligent Retrieval. Technical Report CSRI-265. Computer Systems Research Institute, University of Toronto, Toronto, 1992.Google Scholar
  5. 5.
    Charles J. Fillmore. “The Case for Case”. Bach, Emmon Werner and Harms, Robert Thomas (editors). Universals in Linguistic Theory. Holt, Rinehart and Winston, New York, 1968.Google Scholar
  6. 6.
    Charles J. Fillmore. “Toward a Modern Theory of Case.” David A. Reibel, and Sanford A. Schane (editors). Modern Studies in English: Readings in Transformational Grammar. Prentice-Hall, Englewood Cliffs, NJ, 1969.Google Scholar
  7. 7.
    Charles J. Fillmore. “The Case for Case Re-opened.” In Cole, Peter and Sadock, Jerold M (editors). Syntax and Semantics 8: Grammatical Relations. Academic Press, New York, 1977.Google Scholar
  8. 8.
    Louise Guthrie, et al. “The Role of Lexicons in Natural Language Processing.” Communications of the ACM, 39(1), January 1996, 63–72.Google Scholar
  9. 9.
    Lewis N. Klar, (editor). Studies in Canadian Tort Law. Butterworths, Toronto, 1977.Google Scholar
  10. 10.
    Geoffrey Leech. Semantics: The Study of Meaning. 2nd ed. Rev. Penguin Harmondsworth Middlesex, England, 1981.Google Scholar
  11. 11.
    William F. Prosser. “Palsgraf Revisited.” Michigan Law Review, 52(1), Nov. 1953, 1–32.Google Scholar
  12. 12.
    William F. Prosser. Cases and Materials on Torts. By William L. Prosser, J.W. Wade, et al. 4th ed. Foundation Press, Westburg NY, 1994.Google Scholar
  13. 13.
    Harold L. Somers. Valency and Case in Computational Linguistics. Edinburgh Univ. Press, Edinburgh, 1987.Google Scholar
  14. 14.
    John F. Sowa. Conceptual Structures: Information Processing in Mind and Machine Addison-Wesley, Reading MA, 1984.Google Scholar
  15. 15.
    John F. Sowa. “Notation of Conceptual Graphs” Draft chapter from forthcoming book, SUNY, Binghamton NY, 1987.Google Scholar
  16. 16.
    John F. Sowa. Knowledge Representation: Logical, Philosophical, and Computational Foundations. Preliminary Edition. ICCS'94 University of Maryland, College Park MD, 1994.Google Scholar
  17. 17.
    Cecil A. Wright Canadian Tort Law; Cases, Notes and Materials. By Allen M. Linden and Lewis N. Klar. Butterworths, Toronto, 1990.Google Scholar
  18. 18.
    George KinglselyZipf. Human Behavior and the Principle of Least Effort. Addison-Wesley, Reading, MA, 1949.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Judith P. Dick
    • 1
  1. 1.ActETorontoCanada

Personalised recommendations