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Legal information retrieval a hybrid approach
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Source International Conference on Artificial Intelligence and Law archive
Proceedings of the 2nd international conference on Artificial intelligence and law table of contents
Vancouver, British Columbia, Canada
Pages: 138 - 146  
Year of Publication: 1989
ISBN:0-89791-322-1
Authors
D. E. Rose  Cognitive Computer Science Research Group, Computer Science & Engineering Department (C-014), University of California at San Diego, La Jolla, CA
R. K. Belew  Cognitive Computer Science Research Group, Computer Science & Engineering Department (C-014), University of California at San Diego, La Jolla, CA
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

SCALIR is a legal information retrieval system which uses a combination of symbolic and connectionist artificial intelligence techniques. Traditional systems used for automating legal research have many difficulties which make them “brittle”; SCALIR is an attempt to rectify many of these problems. SCALIR's hybrid nature is especially appropriate for the legal domain, which requires both logical and associative inferences. The system also benefits from a unique direct-manipulation style interface and the ability to improve its performance based on user feedback.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  12