Finding legally relevant passages in case opinions

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Finding legally relevant passages in case opinions

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International Conference on Artificial Intelligence and Law archive
Proceedings of the 6th international conference on Artificial intelligence and law table of contents

Melbourne, Australia

Pages: 39 - 46

Year of Publication: 1997

ISBN:0-89791-924-6

Authors

Jody J. Daniels	Department of Computer Science, University of Massachusetts, Amherst, MA
Edwina L. Rissland	Department of Computer Science, University of Massachusetts, Amherst, MA

Sponsors

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

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 1, Downloads (12 Months): 16, Citation Count: 15

Additional Information:

references cited by index terms collaborative colleagues peer to peer

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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.

	Ash90	Kevin D. Ashley, Modeling Legal Arguments: Reasoning with Cases and Hypotheticals, MIT Press, Cambridge, MA, 1991
	CCH92	James P. Callan, W. Bruce Croft, and Stephen M. Harding. The INQUERY Retrieval System. In A. M. Tjoa and I. Ramos, editots, Database and Ezpert Systems Applications: Proceedings of the International Conference in Valencia, Spain, pages 78-83, Valencia, Spain, 1992. Springer Verlag, NY.
	Coo68	William S. Cooper. Expected Search Length: A Single Measure of Retrieval Effectiveness Based on the Weak Ordering Action of Retrieval Systerns. American Documentation, 19:30-41, 1968.
	CTL91	W. Bruce Croft , Howard R. Turtle , David D. Lewis, The use of phrases and structured queries in information retrieval, Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval, p.32-45, October 13-16, 1991, Chicago, Illinois, United States [doi>10.1145/122860.122864]
	Dan97	Jody J. Daniels, Retrieval of passages for information reduction, University of Massachusetts, Amherst, MA, 1998
	DR95	Jody J. Daniels , Edwina L. Rissland, A case-based approach to intelligent information retrieval, Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, p.238-245, July 09-13, 1995, Seattle, Washington, United States [doi>10.1145/215206.215364]
	Kwo96	K. L. Kwok, A new method of weighting query terms for ad-hoc retrieval, Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval, p.187-195, August 18-22, 1996, Zurich, Switzerland [doi>10.1145/243199.243266]
	RA87	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]
	RD95	Edwina L. Rissland , Jody J. Daniels, A hybrid CBR-IR approach to legal information retrieval, Proceedings of the 5th international conference on Artificial intelligence and law, p.52-61, May 21-24, 1995, College Park, Maryland, United States [doi>10.1145/222092.222125]
	RD96	Edwina L. Rissland , Jody J. Daniels, The synergistic application of CBR to IR, Artificial Intelligence Review, v.10 n.5-6, p.441-475, Oct. 1996 [doi>10.1007/BF00130694]
	RDRS93	E. L. Rissland, J. J. Daniels, Z. B. l~ubinstein, and D. B. Skalak. Diagnostic Case Retrieval Guided by Evaluation and Feedback. In Proceedings of the CBR Workshop at the 11th National Conference on Artificial Intelligence, pages 135- 140, Washington D.C., July 1993. AAAI.
	RS91	Edwina L. Rissland , David B. Skalak, CABARET: rule interpretation in a hybrid architecture, International Journal of Man-Machine Studies, v.34 n.6, p.839-887, June 1991 [doi>10.1016/0020-7373(91)90013-W]
	RSF94	Edwina L. Rissland , David B. Skalak , M. Timur Friedman, Heuristic harvesting of information for case-based argument, Proceedings of the twelfth national conference on Artificial intelligence (vol. 1), p.36-43, October 1994, Seattle, Washington, United States
	RSF96	Edwina L. Rissland, D. B. Skalak, and M. Timur Friedman. BankXX: Supporting Legal Arguments through Heuristic Retrieval. Artificial Intelligence Review, 10(1-71), 1996.

CITED BY 15

	Erich Schweighofer , Andreas Rauber , Michael Dittenbach, Automatic text representation, classification and labeling in European law, Proceedings of the 8th international conference on Artificial intelligence and law, p.78-87, May 2001, St. Louis, Missouri, United States
	Jen-Ying Shih , Yu-Jung Chang , Wun-Hwa Chen, Using GHSOM to construct legal maps for Taiwan's securities and futures markets, Expert Systems with Applications: An International Journal, v.34 n.2, p.850-858, February, 2008
	Marie-Francine Moens, Combining structured and unstructured information in a retrieval model for accessing legislation, Proceedings of the 10th international conference on Artificial intelligence and law, June 06-11, 2005, Bologna, Italy
	John Yearwood , Andrew Stranieri, The integration of retrieval, reasoning and drafting for refugee law: a third generation legal knowledge based system, Proceedings of the 7th international conference on Artificial intelligence and law, p.117-125, June 14-17, 1999, Oslo, Norway
	James Osborn , Leon Sterling, JUSTICE: a judicial search tool using intelligent concept extraction, Proceedings of the 7th international conference on Artificial intelligence and law, p.173-181, June 14-17, 1999, Oslo, Norway
	Graham Greenleaf , Andrew Mowbray , Geoffrey King , Simon Cant , Philip Chung, More than wyshful thinking: AustLII's legal inferencing via the World Wide Web, Proceedings of the 6th international conference on Artificial intelligence and law, p.47-55, June 30-July 03, 1997, Melbourne, Australia
	Jack G. Conrad , Daniel P. Dabney, Automatic recognition of distinguishing negative indirect history language in judicial opinions, Proceedings of the tenth international conference on Information and knowledge management, October 05-10, 2001, Atlanta, Georgia, USA
	Erich Schweighofer , Dieter Merkl, A learning technique for legal document analysis, Proceedings of the 7th international conference on Artificial intelligence and law, p.156-163, June 14-17, 1999, Oslo, Norway
	L. Thorne McCarty, Deep semantic interpretations of legal texts, Proceedings of the 11th international conference on Artificial intelligence and law, June 04-08, 2007, Stanford, California
	Stefanie Brüninghaus , Kevin D. Ashley, Improving the representation of legal case texts with information extraction methods, Proceedings of the 8th international conference on Artificial intelligence and law, p.42-51, May 2001, St. Louis, Missouri, United States
	Stefanie Bruninghaus , Kevin D. Ashley, Predicting outcomes of case based legal arguments, Proceedings of the 9th international conference on Artificial intelligence and law, June 24-28, 2003, Scotland, United Kingdom
	Paul Thompson, Automatic categorization of case law, Proceedings of the 8th international conference on Artificial intelligence and law, p.70-77, May 2001, St. Louis, Missouri, United States
	Stefanie Brüninghaus , Kevin D. Ashley, Generating legal arguments and predictions from case texts, Proceedings of the 10th international conference on Artificial intelligence and law, June 06-11, 2005, Bologna, Italy
	R. W. P. Luk , B. K. Y. T'sou , T. B. Y. Lai , O. O. Y. Kwong , F. C. Y. Chik , L. Y. L. Cheung, Bilingual legal document retrieval and management using XML, Software—Practice & Experience, v.33 n.1, p.41-59, January 2003
	Kevin D. Ashley , Edwina L. Rissland, Law, learning and representation, Artificial Intelligence, v.150 n.1-2, p.17-58, November 2003