Classification and clustering for case-based criminal summary judgments
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
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Ongoing research in information retrieval offers new approaches demonstrating that the traditional methods may have reached their limitations. In fact, actual results to date have shown that advanced systems will demonstrate effectiveness at combining multiple text and user's need representations. This paper suggests to supplement the traditional conceptual abstracts by a syntactical description designed to improve retrieval performance. This choice is carefully motivated and examples are given. Without attempting to reason about the documents content, a domain-specific knowledge representation is used to form clusters of concepts. The point is to represent the joint structure of the component-concepts involved in a composite-concept. This approach extends the reach of key concepts assignment to : - interactive query elicitation ; - multiwords phrase search ; - finer-grained thesaurus relationships. This paper emphasizes that intellectual assignment of features is part of artificial intelligence approach to information retrieval. The principles of implementation are also described.