Abstract
Appellate decisions are the most important judicial documents in the Anglo-American legal system. Typically, judges write appellate opinions by including a summary of the facts of the case, identification of the issues of law raised in arguments by counsel for each of the parties, pronouncement of the legal propositions supported by the controlling authorities, and declaration of a decision that resolves the issues by applying the legal propositions to the facts of the case. The cited legal propositions are often concise summaries of certain aspects of previous cases or federal or state codes, which are applicable to the particular case in consideration. In this paper, we describe how a text discourse analysis program can be used to categorize each sentence in the appellate decisions as one or more of the discourse categories such as ‘facts’, ‘issues’, ‘legal propositions’, and/or ‘decisions’. We also show how an information extraction program is applied to the sentences belonging to the ‘legal proposition’ category to build a visually browsable legal knowledge base. We expect the browsable knowledge base to aid both counsels and judges finding supporting legal propositions for their arguments during the early stage of preparing court briefs or the appellate decisions.
This work was supported by the faculty research fund of Konkuk University in 2004.
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References
Branting, K., Lester, J.C., Callaway, C.B.: Automating Judicial Document Drafting: A Discourse-Based Approach. Artificial Intelligence Law 6(2-4), 111–149 (1998)
Bruninghaus, S., Ashley, K.D.: Improving the Representation of Legal Case Texts with Information Extraction Methods. In: Prakken, H., Loui, R. (eds.) Proceedings of Seventh International Conference on Artificial Intelligence and Law (ICAIL 2001), St. Louis, MO, ACM Press, New York (2001)
Aleven, V.: Teaching Case-Based Argumentation through a Model and Examples. Ph.D Dissertation, University of Pittsburgh (1997)
Jackson, P., Al-Kofahi, K., Kreilick, C., Grom, B.: Information extraction from case law and retrieval of prior cases by partial parsing and query generation. In: Proceedings of Seventh International Conference on Information & Knowledge Management (CIKM 1998), pp. 60–67. ACM Press, New York (1998)
Fukusima, T., Okumura, M.: Text Summarization Challenge: Text Summarization Evaluation at NTCIR Workshop2. In: Proceedings of the Second NTCIR Workshop on Research in Chinese & Japanese Text Retrieval and Text Summarization. Tokyo, Japan, National Institute of Informatics (2001)
Paik, W.: CHronological information Extraction SyStem (CHESS). PhD Dissertation, Syracuse University, Syracuse, NY (2000)
Jones, L.B.: Pragmatic aspects of English text structure. Summer Institute of Linguistics, Arlington, TX (1983)
Rumelhart, D.: Understanding and summarizing brief stories. In: LaBerge, D., Samuels, S.J. (eds.) Basic processes in reading: Perception and comprehension, pp. 265–303. Lawrence Earlbaum Associates, Hillsdale (1977)
Rumelhart, D.: Schemata: the building blocks of cognition. In: Spiro, R., Bruce, B., Brewer, W. (eds.) Theoretical issues in reading comprehension: Perspectives from cognitive psychology, linguistics, artificial intelligence and education, pp. 33–38. Lawrence Earlbaum Associates, Hillsdale (1980)
van Dijk, T.A.: News analysis: Case studies of international and national news in the press. Lawrence Earlbaum Associates, Hillsdale, NJ (1988)
Cohen, R.: Analyzing the structure of argumentative discourse. Computational Linguistics 13, 11–24 (1987)
Alvarado, S.J.: Understanding editorial text: A computer model of argument comprehension. Kluwer Academic Publishers, Boston (1990)
Liddy, E.D.: The discourse-level structure of empirical abstracts: An exploratory study. In: Information Processing and Management 27.1, Tarry Town, NY, pp. 55–81. Pergamon Press, Oxford (1991)
Liddy, E.D., McVearry, K.A., Paik, W., Yu, E., McKenna, M.: Development, Implementation and Testing of a Discourse Model for Newspaper Texts. In: Proceedings of a Human Language Technology Workshop, pp. 159–164. Morgan Kaufmann Publishers, Plainsboro (1993)
Olin, J.v.: Corp.-Winchester Division; U.S. Repeating Arms Co., Inc.; Browning; Browning Arms Co.; and G.I. Joe’s Inc., Case No. 03-1036-KI, U.S. District Court for the District of Oregon (2004)
Conrad, J.G., Dabney, D.P.: A cognitive approach to judicial opinion structure: applying domain expertise to component analysis. In: The 8th International Conference on Artificial Intelligence and Law. Proceedings of the Conference, pp. 1–11. ACM Press, New York (2001)
Monsanto Company Plaintiff, v. Mike Roman, a/k/a M. Roman, Defendant, Civil Action No. 1:03-CV-068-C, U.S. District Court for the Northern District of Texas, Abilene Division (2004)
Paik, W., Liddy, E.D., Yu, E., McKenna, M.: Interpretation of Proper Nouns For Information Retrieval. In: Proceedings of a Human Language Technology Workshop, pp. 309–313. Morgan Kaufmann Publishers, Plainsboro (1993)
Pearl, J.: Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan Kaufmann Publishers, San Francisco (1988)
Machinese Syntax. Connexor Oy. July 1 (2004), http://www.connexor.com/m_syntax.html
Schank, R.: Conceptual Dependency: A Theory of Natural Language Understanding. Cognitive Psychology 3(4) (1972)
Sowa, J.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Reading (1984)
Sager, N., Friedman, C., Lyman, M.S.: Medical Language Processing: Computer Management of Narrative Data. Addison-Wesley, Reading (1987)
Proceedings of the Third Message Understanding Conference (MUC-3), San Diego, CA, Morgan Kaufmann (1991)
Graphviz. AT&T Labs Research. July 5 (2004), http://www.research.att.com/sw/tools/graphviz/
Chincor, N.: MUC-4 Evaluation Metrics. Proceedings of the Fourth Message Understanding Conference (MUC-4), McLean, VA (1992)
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Paik, W., Lee, J.Y. (2004). Extracting Legal Propositions from Appellate Decisions with Text Discourse Analysis Methods. In: Meersman, R., Tari, Z., Corsaro, A. (eds) On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops. OTM 2004. Lecture Notes in Computer Science, vol 3292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30470-8_74
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DOI: https://doi.org/10.1007/978-3-540-30470-8_74
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