Text retrieval in the legal world

Author:

Turtle Howard

Publisher

Springer Science and Business Media LLC

Subject

Law,Artificial Intelligence

Reference125 articles.

1. Ashley, K. D. 1990.Modeling Legal Argument: Reasoning with Cases and Hypotheticals. Cambridge, MA: MIT Press.

2. Belew, R. K. 1986. Adaptive Information Retrieval: Machine Learning in Associative Networks. PhD thesis, Computer Science Department, University of Michigan.

3. Belew, R. K. 1987. A Connectionist Approach to Conceptual Information Retrieval. InThe First International Conference on Artificial Intelligence and the Law: Proceedings of the Conference, 116?126. ACM Press.

4. Belew, R. K. 1989. Adaptive Information Retrieval: Using a Connectionist Representation to Retrieve and Learn About Documents. InProceedings of the 12 th Annual International Conference on Research and Development in Information Retrieval, eds. N. J. Belkin & C. J. van Rijsbergen, 11?20, New York, NY. ACM.

5. Besnard, P. 1989.Introduction to Default Logic. Springer Verlag.

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