Detecting change in legal concepts

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Detecting change in legal concepts

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International Conference on Artificial Intelligence and Law archive
Proceedings of the 5th international conference on Artificial intelligence and law table of contents

College Park, Maryland, United States

Pages: 127 - 136

Year of Publication: 1995

ISBN:0-89791-758-8

Authors

Edwina L. Rissland	Department of Computer Science, University of Massachusetts, Amherst, MA
M. Timur Friedman	Department of Computer Science, University of Massachusetts, Amherst, MA

Sponsors

IAAIL : Intl Asso for Artifical Intel & Law
UMIACS : U of MD Inst for Advanced Comp Studies
SIGART: ACM Special Interest Group on Artificial Intelligence

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 8, Downloads (12 Months): 31, Citation Count: 7

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Kevin D. Ashley, Modeling Legal Arguments: Reasoning with Cases and Hypotheticals, MIT Press, Cambridge, MA, 1991
	2	Brodley, C. E., & Rissland, E. L. (1993). Measuring Concept Change. Working Notes of the 1993 AAAI Spring Symposium on Training Issue in Incremental Learning, 98-107. Stanford.
	3	Douglas H. Fisher, Knowledge Acquisition Via Incremental Conceptual Clustering, Machine Learning, v.2 n.2, p.139-172, September 1987 [doi>10.1023/A:1022852608280]
	4	Hart, H. L. A. (1958). The Concept of Law. Clarendon Press. Oxford, U.K.
	5	Kendall, M.G. (1962). Rank correlation methods. New York: Hafner Publishing Company, Inc.
	6	Kuhn, T. S. (1970). The Structure of Scientific Revolutions. Second Edition. University of Chicago Press.
	7	Lakatos, I. (1976). Proofs and Refutations. Cambridge University Press.
	8	Llewellyn, K. N. (1989). The Case Law System ~n America. The University of Chicago Press.
	9	Levi, E.tt. (1949). An introduction to legal reasoning. University of Chicago Press.
	10	J. Ross Quinlan, C4.5: programs for machine learning, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1993
	11	Radin, Max (1933). Case Law and Stare Decisis: Concerning Prajudizienrecht in Amerika. Columbia Law Review, Volume 33, p. 199.
	12	E. L. Rissland, Dimension-based analysis of hypotheticals from supreme court oral argument, Proceedings of the 2nd international conference on Artificial intelligence and law, p.111-120, May 1989, Vancouver, British Columbia, Canada [doi>10.1145/74014.74030]
	13	Rissland, E. L. (1994). Cases and Rules: A Natural Synergy. Proceedings Fifth Generation Computer Systems Conference. Tokyo. December 1994.
	14	E. L. Rissland , K. D. Ashley, A case-based system for trade secrets law, Proceedings of the 1st international conference on Artificial intelligence and law, p.60-66, May 27-29, 1997, Boston, Massachusetts, United States [doi>10.1145/41735.41743]
	15	Rissland, E.L., & Collins, R. (1986). The Law as Learning System. Proceedings Eighth Annual Cognitive Science Society Conference, 511-513.
	16	Rissland, E. L., Brodley, C. E., & Friedman, M. T. (1994). Measuring Structural Change in Concepts. Submitted for publication.
	17	Edwina L. Rissland , David B. Skalak , M. Timur Friedman, BankXX: a program to generate argument through case-base research, Proceedings of the 4th international conference on Artificial intelligence and law, p.117-124, June 15-18, 1993, Amsterdam, The Netherlands [doi>10.1145/158976.158991]
	18	E. L. Rissland , D. B. Skalak , M. T Friedman, Supporting Legal Arguments through Heuristic Retrieval, University of Massachusetts, Amherst, MA, 1994
	19	E. L. Rissland , D. B. Skalak , M. T Friedman, Evaluating a Legal Argument Progra: The BankXX Experiments, University of Massachusetts, Amherst, MA, 1995
	20	Jeffrey Curtis Schlimmer, Concept acquisition through representational adjustment, 1987
	21	Paul E. Utgoff, Incremental Induction of Decision Trees, Machine Learning, v.4 n.2, p.161-186, November 1989 [doi>10.1023/A:1022699900025]
	22	Utgoff, P.E. (1994). An Improved Algorithm for Incremental Induction of Decision Trees. Proceedings of Eleventh Machine Learning Conference. Rutgers University, July 1994. Morgan Kaufman.

CITED BY 7

	John Zeleznikow , Andrew Stranieri, Knowledge discovery in the Split Up project, Proceedings of the 6th international conference on Artificial intelligence and law, p.89-97, June 30-July 03, 1997, Melbourne, Australia
	John Henderson , Trevor Bench-Capon, Dynamic arguments in a case law domain, Proceedings of the 8th international conference on Artificial intelligence and law, p.60-69, May 2001, St. Louis, Missouri, United States
	Alexander Boer , Tom van Engers , Radboud Winkels, Using ontologies for comparing and harmonizing legislation, Proceedings of the 9th international conference on Artificial intelligence and law, June 24-28, 2003, Scotland, United Kingdom
	Sasha Ivkovic , John Yearwood , Andrew Stranieri, Visualizing association rules for feedback within the legal system, Proceedings of the 9th international conference on Artificial intelligence and law, June 24-28, 2003, Scotland, United Kingdom
	Trevor J. M. Bench-Capon, Try to see it my way: modelling persuasion in legal discourse, Artificial Intelligence and Law, v.11 n.4, p.271-287, January 2003
	Mirko Böttcher , Frank Höppner , Myra Spiliopoulou, On exploiting the power of time in data mining, ACM SIGKDD Explorations Newsletter, v.10 n.2, December 2008
	Alexander Boer, Legal Theory, Sources of Law and the Semantic Web, Proceeding of the 2009 conference on Legal Theory, Sources of Law and the Semantic Web, p.1-316, July 15, 2009