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Artificial intelligence and legal discourse: The Flexlaw legal text management system

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References

  • Ashley, Kevin D. 1990.Modeling Legal Arguments: Reasoning With Cases and Hypothesis. MIT Press, Cambridge.

    Google Scholar 

  • Bing, Jon, 1987. Designing Text Retrieval Systems for Conceptual Searching. In Proceedings ofThe 1st International Conference on Artificial Intelligence and Law, New York: ACM Press.

    Google Scholar 

  • Blair, D. C. & Maron, M. E. 1985. An Evaluation of Retrieval Effectiveness for a Full-Text Document Retrieval System.Communications of the ACM, Vol. 28, Number 3.

  • Booch, G. 1991.Object Oriented Design. Benjamin/Cummings Publishing Co., Redwood City Cal.

    Google Scholar 

  • Cleverdon, C. W. 1984. Optimizing Convenient On-Line Access to Bibliographic Databases,Information Service and Use, 4:1.

    Google Scholar 

  • Coval, S. C. & Smith, J. C. 1982. Rights, Goals, and Hard Cases.Law and Philosophy, 1: 451.

    Google Scholar 

  • Coval, S. C. & Smith, J. C. 1986.Law and its Presuppositions, London: Routledge and Kegan Paul.

    Google Scholar 

  • Croft, W. B., Turtle H. R. & Lewis D. D. 1991. The Use of Phrases and Structured Queries in Information Retrieval. In Proceedings ofThe ACM SIGIR Conference on Research and Development in Information Retrieval.

  • Das-Gupta, P. 1987. Boolean Interpretation of Conjunctions for Document Retrieval.Journal of the American Society for Information Science, 38.

  • Deedman, Cal & Smith J. C. 1991. The Nervous Shock Advisor: A Legal System in Case-based Law. In Ching Y. Suen & Rajjan ShinghalOperational Expert Systems in Canada, eds. 56. Oxford: Pergamon Press.

    Google Scholar 

  • Deedman, Cal. 1994.Developing Conceptual Framework for Structuring Legal Knowledge-Based Systems. Ph. D. Thesis, UBC.

  • Dillon, M. & Gray, S. 1983, FASIT: A Fully Automatic Syntactically Based Indexing System.Journal of the American Society of Information Science 34.

  • Fagan. J. 1987. Experiments in Automatic Phrase Indexing for Document Retrieval: A Comparison of Syntactic and Non-Syntactic Methods, Ph.D. Thesis, Technical Report 87–868, Cornell University, Computer Science Department.

  • Gelbart, Daphne & Smith, J. C. 1990. Towards a Comprehensive Legal Information Retrieval System, in Proceedings ofThe International Conference on Database and Expert Systems Applications, Vienna.

  • Gelbart, Daphne & Smith, J. C. 1991. Beyond Boolean Search, FLEXLAW, a Legal Text-Based Intelligent System. In Proceedings ofThe Third International Conference on Law and Artificial Intelligence, 225–234, Oxford.

  • Gelbart, Daphne & Smith, J. C. 1992. Towards Combining Automate Text Retrieval and Case-based Expert Legal Advice.Law Technology Journal, 1:23.

    Google Scholar 

  • Gelbart, Daphne & Smith J. C. 1993. FLEXLAW: An Evaluation of a Statistical Ranking Model Adapted to Intelligent Legal Text Management. In Proceeding ofThe Fourth International Conference on Artificial Intelligence and Law, 142. New York: ACM Press.

    Google Scholar 

  • Gelbart, Daphne & Smith, J. C. 1994. The Application of Automated Text Processing Techniques to Legal Text Management,International Journal of Law and Information Technology (forthcoming).

  • Gey, Fredric & Chan Wingkei, 1989. Comparing Vector Space Retrieval with the RUBRIC Expert System.SIGIR Forum Vol. 23: 1.

    Google Scholar 

  • Hafner, Carole, 1987. Conceptual Organization of Case Law Knowledge Bases. In Proceedings ofThe 1st International Conference on Artificial Intelligence and Law. Boston.

  • Herman, Donna & Gerald Candela 1989. A Very Fast Prototype Retrieval System Using Statistical Ranking,SIGIR Forum 23:4.

    Google Scholar 

  • Kowalski, Andrzej, 1991. Case-based Reasoning and the Deep Structure Approach to Knowledge Representation. Proceedings ofThe Third International Conference on Artificial Intelligence and Law. New York: ACM Press.

    Google Scholar 

  • Lacan, Jacques, 1977. Ecrits, New York: W. W. Norton.

    Google Scholar 

  • Lacan, Jacques, 1988. The Seminar of Jacques Lcan, Book II., New York: W. W. Norton.

    Google Scholar 

  • Lacan, Jacques, 1993. The Seminar of Jacques Lacan, Book III., New York: W. W. Norton.

    Google Scholar 

  • MacCrimmon, Marilyn T., 1989. Expert Systems in Case-Based Law: The Hearsay Rule Advisor. In Proceedings ofThe Second International Conference on Artificial Intelligence and Law. New York: ACM Press.

    Google Scholar 

  • Pearl, J. 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufman.

  • Robertson, S.E., 1977. The Probability Ranking Principle in IR.Journal of Documentation 33: 294–304.

    Google Scholar 

  • Salton, G. & McGill, M. J.Introduction to Modern Information Retrieval, McGraw-Hill.

  • Salton, G. 1989.Automatic Text Processing. Addison-Wesley.

  • de Saussure, Ferdinand, 1966.Course in General Linguistics, New York: Philosophical Library, Inc.

    Google Scholar 

  • Schank, R. C. & Abelson, R. 1977.Scripts, Plans, Goals and Understanding. Hillside N.J. Lawrence Erlbaum Associates.

  • Schank, T. C. 1982.Dynamic Memory, Cambridge: Cambridge U. Press.

    Google Scholar 

  • Simon, Herbert A, 1965.The Shape of Automation for Men and Management. Harper & Row.

  • Smeaton A. 1991. Information Retrieval Research: How it Might Affect the Practicing Lawyer. In S. Nagel, ed.,Law, Decision-making and MicroComputer.

  • Smith, J. C. 1976. Legal Obligation. London: Athllone Press of the University of London.

    Google Scholar 

  • Smith, J. C. & Deedman, C. 1987. The Application of Expert Systems Technology to Case-Based Reasoning. In Proceedings ofThe First International Conference on Artificial Intelligence and Law, New York: ACM Press.

    Google Scholar 

  • Smith, J. C., Gelbart D. & Graham D. 1992. Building Expert Systems in Case-based Law.Expert Systems with Applications, 4:2.

    Google Scholar 

  • Smith, J. C. 1993. Action Theory and Legal Reasoning, In Cooper-Stephenson, K. & Gibson, E. Tort Theory, Captus U. Publications, North York, 104.

    Google Scholar 

  • Smith, M. E. 1990. Aspects of the P-Norm Model of Information Retrieval: Syntactic Query Generation, Efficiency and Theoretical Properties, Ph.D. Thesis, Computer Science Department, Cornell University.

  • Tapper, Collin, 1984. An Experiment with Citation Vectors.Data Processing and The Law.

  • Turtle, H. R. & Croft, W. B. 1991. Evaluation of an Inference Network-Based Retrieval Mode.ACM Trans. Indf. Syst. 3:187–222.

    Google Scholar 

  • Turtle, H. R. & Croft, W. B. 1992. A Comparison of Text Retrieval Models.The Computer Journal 35.

  • Way, E. C. 1991.Knowledge Representation and Metaphor. Kluwer, Dordrecht.

    Google Scholar 

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Authors and Affiliations

  1. Faculty of Law Artificial Intelligence Research [FLAIR] Project Vancouver, University of British Columbia, V6T 1Y1, Canada

    J. C. Smith, Daphne Gelbart, Keith Maccrimmon, Bruce Atherton, John Mcclean, Michelle Shinehoft & Lincoln Quintana

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  1. J. C. Smith
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  2. Daphne Gelbart
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  3. Keith Maccrimmon
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  4. Bruce Atherton
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  5. John Mcclean
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  6. Michelle Shinehoft
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  7. Lincoln Quintana
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Smith, J.C., Gelbart, D., Maccrimmon, K. et al. Artificial intelligence and legal discourse: The Flexlaw legal text management system. Artif Intell Law 3, 55–95 (1995). https://doi.org/10.1007/BF00877695

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