Legal information retrieval a hybrid approach

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.

[1]  Carole D. Hafner An information retrieval system based on a computer model of legal knowledge , 1981 .

[2]  A. P. Carrillo Newcomb Hohfeld, Wesley: Fundamental Legal Conceptions as Applied in Judicial Reasoning , 1965 .

[3]  Layman E. Allen,et al.  Some problems in designing expert systems to aid legal reasoning , 1987, ICAIL '87.

[4]  Richard K. Belew,et al.  Adaptive information retrieval: using a connectionist representation to retrieve and learn about documents , 1989, SIGIR '89.

[5]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[6]  Gerard Salton,et al.  On the use of spreading activation methods in automatic information , 1988, SIGIR '88.

[7]  James L. McClelland,et al.  James L. McClelland, David Rumelhart and the PDP Research Group, Parallel distributed processing: explorations in the microstructure of cognition . Vol. 1. Foundations . Vol. 2. Psychological and biological models . Cambridge MA: M.I.T. Press, 1987. , 1989, Journal of Child Language.

[8]  Ronald J. Brachman,et al.  What IS-A Is and Isn't: An Analysis of Taxonomic Links in Semantic Networks , 1983, Computer.

[9]  N. Isaacs,et al.  Fundamental Legal Conceptions as Applied in Judicial Reasoning: And Other Legal Essays , 2010 .

[10]  Kevin D. Ashley,et al.  A case-based system for trade secrets law , 1987, ICAIL '87.

[11]  Richard Kuehn Belew,et al.  Adaptive information retrieval: machine learning in associative networks (connectionist, free-text, browsing, feedback) , 1986 .

[12]  Allen Newell,et al.  Physical Symbol Systems , 1980, Cogn. Sci..

[13]  James A. Hendler,et al.  Marker‐passing over Microfeatures: Towards a Hybrid Symbolic/Connectionist Model , 1989 .

[14]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[15]  Richard K. Belew,et al.  A connectionist approach to conceptual information retrieval , 1987, ICAIL '87.

[16]  L. Thorne McCarty,et al.  Reflections on "Taxman": An Experiment in Artificial Intelligence and Legal Reasoning , 1977 .

[17]  Carole D. Hafner,et al.  Obstacles to the development of logic-based models of legal reasoning , 1988 .