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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/2675

Title: A large case-based reasoner for legal cases
Authors: Weber-Lee, Rosina
Barcia, Ricardo Miranda
da Costa, Marcio C.
Filho, Ilson W. Rodrigues
Hoeschl, Hugo C.
Bueno, Tania C. D’Agostini
Martins, Alejandro
Pacheco, Roberto C.
Issue Date: 1997
Publisher: Springer Verlag
Citation: Case-Based Reasoning Research and Development: Proceedings of the 2nd International Conference on Case-Based Reasoning, ICCBR 1997: pp. 190-199.
Abstract: In this paper we propose a large case-based reasoner for the legal domain. Analyzing legal texts for indexing purposes makes the implementation of large case bases a complex task. We present a methodology to automatically convert legal texts into legal cases guided by domain expert knowledge in a rule-based system with Natural Language Processing (NLP) techniques. This methodology can be generalized to be applied in different domains making Case-Based Reasoning (CBR) paradigm a powerful technology to solve real world problems with large knowledge sources.
URI: http://hdl.handle.net/1860/2675
Appears in Collections:Faculty Research and Publications (IST)

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