Analyzing the structure of argumentative discourse
Computational Linguistics
Expert systems in law
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Information Processing and Management: an International Journal
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SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
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ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Understanding Editorial Text: A Computer Model of Argument Comprehension
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Teaching case-based argumentation through a model and examples
Teaching case-based argumentation through a model and examples
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ACM Transactions on Information Systems (TOIS)
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ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
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ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
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Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
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Empirical research on basic components of American judicial opinions has only scratched the surface. Lack of a coordinated pool of legal experts or adequate computational resources are but two reasons responsible for this deficiency. We have undertaken a study to uncover fundamental components of judicial opinions found in American case law. The study was aided by a team of twelve expert attorney-editors with a combined total of 135 years of legal editing experience. The scientific hypothesis underlying the experiment was that after years of working closely with thousands of judicial opinions, expert attorneys would develop a refined and internalized schema of the content and structure of legal cases. In this study participants were permitted to describe both concept-related and format-related components. The resultant components, representing a combination of these two broad categories, are reported on in this paper. Additional experiments are currently under way which further validated and refine this set of components and apply them to new search paradigms.