An evaluation of retrieval effectiveness for a full-text document-retrieval system
Communications of the ACM
Communications of the ACM - Special issue on parallelism
A case-based system for trade secrets law
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Experiments with query acquisition and use in document retrieval systems
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
CABARET: rule interpretation in a hybrid architecture
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Trading MIPS and memory for knowledge engineering
Communications of the ACM
Learning by analogical reasoning in general problem-solving
Learning by analogical reasoning in general problem-solving
Case-based reasoning
Natural language vs. Boolean query evaluation: a comparison of retrieval performance
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Heuristic harvesting of information for case-based argument
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Supporting Legal Arguments through Heuristic Retrieval
Supporting Legal Arguments through Heuristic Retrieval
Automatic categorization of case law
Proceedings of the 8th international conference on Artificial intelligence and law
Law, learning and representation
Artificial Intelligence - Special issue on AI and law
A web-based multi-agent system approach to document engineering
International Journal of Web Engineering and Technology
Semantic search using modular ontology learning and case-based reasoning
Proceedings of the 2010 EDBT/ICDT Workshops
Using case-based reasoning to improve information retrieval in knowledge management systems
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Improving case retrieval by remembering questions
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
The fun begins with retrieval: explanation and CBR
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Legal documents categorization by compression
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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We discuss the use of Case-Based Reasoning (CBR) to drive an Information Retrieval (IR) system. Our hybrid CBR-IR approach takes as input a standard frame-based representation of a problem case, and outputs texts of relevant cases retrieved from a document corpus dramatically larger than the case base available to the CBR system. While the smaller case base is accessible by the usual case-based indexing, and is amenable to knowledge-intensive methods, the larger IR corpus is not. Our approach provides two benefits: it extends the reach of CBR (for retrieval purposes) to much larger corpora, and it enables the injection of knowledge-based techniques into traditional IR. Our system works by first performing a standard HYPO-style CBR analysis, and then using texts associated with certain important cases found in this analysis to "seed" a modified version of INQUERY's relevance feedback mechanism in order to generate a query. We describe our approach and report on experiments performed in two different legal domains.