A Large Case-Based Reasoner for Legal Cases

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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.

Rosina Weber-Lee, Ricardo Miranda Barcia, Marcio C

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Automated Reasoning | ICCBR 1997 | Large Case Bases | Large Case-based Reasoner | Legal Texts |

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Added	08 Aug 2010
Updated	08 Aug 2010
Type	Conference
Year	1997
Where	ICCBR
Authors	Rosina Weber-Lee, Ricardo Miranda Barcia, Marcio C. da Costa, Ilson W. Rodrigues Filho, Hugo Cesar Hoeschl, Tânia C. D'Agostini Bueno, Alejandro Martins, Roberto C. S. Pacheco

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A Large Case-Based Reasoner for Legal Cases

Automated Reasoning | ICCBR 1997 | Large Case Bases | Large Case-based Reasoner | Legal Texts |

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