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A large case-based reasoner for legal cases
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|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
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.|
|Appears in Collections:||Faculty Research and Publications (IST)|
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