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Toward Legal Argument Instruction with Graph Grammars and Collaborative Filtering Techniques.

, , , and . Intelligent Tutoring Systems, volume 4053 of Lecture Notes in Computer Science, page 227-236. Springer, (2006)

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AI and Law: A fruitful synergy., , and . Artif. Intell., 150 (1-2): 1-15 (2003)Explaining and Arguing With Examples., , and . AAAI, page 288-294. AAAI Press, (1984)What a Legal CBR Ontology Should Provide.. FLAIRS Conference, AAAI Press, (2009)Automatically classifying case texts and predicting outcomes., and . Artif. Intell. Law, 17 (2): 125-165 (2009)Segmenting U.S. Court Decisions into Functional and Issue Specific Parts., and . JURIX, volume 313 of Frontiers in Artificial Intelligence and Applications, page 111-120. IOS Press, (2018)Automated Generation of Examples for a Tutorial in Case-Based Argumentation., and . Intelligent Tutoring Systems, volume 608 of Lecture Notes in Computer Science, page 475-584. Springer, (1992)Reasoning with Textual Cases., and . ICCBR, volume 3620 of Lecture Notes in Computer Science, page 137-151. Springer, (2005)Case-based reasoning and law., , and . Knowledge Eng. Review, 20 (3): 293-298 (2005)An AI investigation of citation's cognitive role., and . ICAIL, page 32-41. ACM, (2001)Ontological requirements for analogical, teleological, and hypothetical legal reasoning.. ICAIL, page 1-10. ACM, (2009)