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A large case-based reasoner for legal cases
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/2675
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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
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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