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Integrating discourse and domain knowledge for document drafting

Published: 14 June 1999 Publication History

Abstract

Document drafting is a key component of legal expertise. Effective legal document drafting requires knowledge both of legal domain knowledge and of the structure of legal discourse. Automating the task of legal document drafting therefore requires explicit representation of both these types of knowledge. This paper proposes an architecture that integrates these two disparate knowledge sources in a modular architecture under which representation and control are optimized for each task. This architecture is being implemented in DOCUPLANNER 2.0, a system for interactive document drafting.

References

[1]
K. Ashley. Modelling Legal Argument: Reasoning with Cases and Hypotheticals. MIT Press, Cambridge, Massachusetts, 1990.
[2]
T. Bench-Capon and G. Staniford. PLAID - proactive legal assistance. In Proceedings of the Fifth International Conference on Artificial Intelligence and Law, pages 81-88, 1995.
[3]
L.K. Branting and J.C. Lester. A framework for selfexplaining legal documents. In Proceedings ofthe Ninth International Conference on Legal Knowledge-Based SySte/nS (JURIX-96), pages 77-90, Tilburg University, the Netherlands, December 1996.
[4]
K. Branting, J. Lester, and C. Callaway. Automated drafting of self-explaining documents. In Proceedings of the Sixth International Conference on Artificial Intelligence and Law (ICAIL-97), pages 72-8 1, University of Melbourne, Melbourne, Australia, June 30-July 3 1997. ACM Press.
[5]
L. Branting, J. Lester, and C. Callaway. Automating judicial document drafting: A unification-based approach. Artificial Intelligence and Law, 6(2-4): 11 l-149, 1998.
[6]
K. Branting. Building explanations from rules and structured cases. International Journal of Man-Machine Studies, 34:797-837, 1991.
[7]
K. Branting. An issue-oriented approach to judicial document assembly. In Proceedings of the Fourth International Conference on Artifkial Intelligence and Law, pages 228-235, Amsterdam, The Netherlands, June 15- 18, 1993. ACM Press.
[8]
L. Karl Branting. Techniques for automated drafting of judicial documents. International Journal of Law and Information Technology, 6(2):214-229, 1998.
[9]
B. Buchanan and E. Shortliffe. Rule-Based Expert Systems. Addison-Wesley Publishing Co., Menlo Park, 1984.
[10]
Robert Dale. Generating Referring Expressions. MIT Press, 1992.
[11]
M. Elhadad. FUF: The universal unifier user manual version 5.0. Technical Report CUCS-038-9 I, Department of Computer Science, Columbia University, 1991.
[12]
M. Elhadad. Using Argumentation to Control Lexical Choice: A Functional Unification Implementation. PhD thesis, Columbia University, 1992.
[13]
K. Freeman and A. Farley. A model of argumentation and its application to legal reasoning. Artificial Intelligence and Law, 4(3-4): 163-l 97, 1996.
[14]
A. Gardner. An Artificial Intelligence Approach to Legal Reasoning. Bradford Books/MIT Press, Cambridge, MA, 1987.
[15]
T. Gordon. A theory construction approach to legal document assembly. In Pre-Proceedings of the Third International Conference on Logic, Informatics, and Law, pages 485-498, Florence, 1989.
[16]
H. Grice. Logic and conversation. In P. Cole and J. Morgan, editors, Syntax and Semantics 2: Speech Acts, pages 41-58. Academic Press, New York, N.Y., 1975.
[17]
Barbara J. Grosz and Candace L. Sidner. Attention, intentions, and the structure of discourse. Computational Linguistics, 12(3): 175-204, 1986.
[18]
J. Hobbs. Coherence and co-reference. Cognitive Science, 3(1):67-82, 1979.
[19]
E. H. Hovy. Automated discourse generation using discourse structure relations. ArtiJicial Intelligence, 63:341-385, 1993.
[20]
M. Lauritsen. Technology report: Building legal practice systems with today's commercial authoring tools. Law and Artificial Intelligence, 1 (I), 1992.
[21]
M. Lauritsen. Knowing documents. In Fourth International Conference on Artificial Intelligence and Luw, pages 185-191, Amsterdam, 1993. ACM Press.
[22]
K. McKeown. Generating Natural Language Text in Response to Questions about Database Structure. PhD thesis, University of Pennsylvania, 1982.
[23]
J. D. Moore. Participating in Explanatory Dialogues. MIT Press, 1995.
[24]
William C. Mann and Sandra A. Thompson. Rhetorical structure theory: A theory of text organization. Technical Report ISI/RS-87-190, USC/Information Sciences Institute, Marina del Rey, CA, June 1987.
[25]
V. P. Pethe, C. P. Rippey, and L. V. Kale. A specialized expert system for judicial decision support. In Proceedings of the Second International Conference on Artificial Intelligence andLaw, pages 190-194, Vancouver, B.C., June 13-16 1989.
[26]
Ehud Reiter and Robert Dale. Building applied naturallanguage generation systems. Journal of Nuturul- Language Engineering, 3:57-87, 1997.
[27]
Ehud Reiter. NLG vs. templates. In Proceedings of the Fifth European Workshop on Natural-Language Generation, Leiden, The Netherlands, 1995.
[28]
E. Reiter, C. Mellish. and J. Levine. Automatic Zeneration of technical documentation. Applied Artificial Intelligence, 9:259-287, 1995.
[29]
J. Searle. Speech Acts: An Essay in the Philosophy of Language. Cambridge University Press, Cambridge, 1969.
[30]
A. Soudakoff and M. Laudtsen. Shopper's guide to legal document assembly. Law Ojjice Computing, October/November 1997.
[31]
William R. Swartout. XPLAIN: A system for creating and explaining expert consulting programs. Artificial Intelligence, 21:285-325, 1983.
[32]
S. E. Toulmin. The Uses of Argument. Cambridge University Press, 1958.
[33]
J. Zeleznikow and A. Stranieri. The Split-Up system: Integrating neural networks and rule-based reasoning in the legal domain. In Proceedings of the Fifth International Conference on Artificial Intelligence and Law, pages 185-l 94, 1995.

Cited By

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  • (2022)Legal document assembly system for introducing law students with legal draftingArtificial Intelligence and Law10.1007/s10506-022-09339-231:4(829-863)Online publication date: 16-Nov-2022
  • (2020)A knowledge-based document assembly method to support semantic interoperability of enterprise information systemsEnterprise Information Systems10.1080/17517575.2020.179338916:5Online publication date: 14-Jul-2020
  • (2011)ArgumentationComputer Applications for Handling Legal Evidence, Police Investigation and Case Argumentation10.1007/978-90-481-8990-8_3(129-205)Online publication date: 24-Oct-2011
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cover image ACM Conferences
ICAIL '99: Proceedings of the 7th international conference on Artificial intelligence and law
June 1999
220 pages
ISBN:1581131658
DOI:10.1145/323706
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 June 1999

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Cited By

View all
  • (2022)Legal document assembly system for introducing law students with legal draftingArtificial Intelligence and Law10.1007/s10506-022-09339-231:4(829-863)Online publication date: 16-Nov-2022
  • (2020)A knowledge-based document assembly method to support semantic interoperability of enterprise information systemsEnterprise Information Systems10.1080/17517575.2020.179338916:5Online publication date: 14-Jul-2020
  • (2011)ArgumentationComputer Applications for Handling Legal Evidence, Police Investigation and Case Argumentation10.1007/978-90-481-8990-8_3(129-205)Online publication date: 24-Oct-2011
  • (2008)Text organization via projection from researcher‐space onto text‐spaceKybernetes10.1108/0368492081088495537:8(1151-1164)Online publication date: 17-Sep-2008
  • (2006)Generation of biomedical arguments for lay readersProceedings of the Fourth International Natural Language Generation Conference10.5555/1706269.1706292(114-121)Online publication date: 15-Jul-2006
  • (2002)A dynamic user interface for document assemblyProceedings of the 2002 ACM symposium on Document engineering10.1145/585058.585083(134-141)Online publication date: 8-Nov-2002
  • (2000)Automatic version management of legislation: the Agora-Lex projectProceedings 11th International Workshop on Database and Expert Systems Applications10.1109/DEXA.2000.875156(1051-1055)Online publication date: 2000

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