Legal Information Retrieval: Evaluating Case-Based Reasoning

Symball Rufino de Oliveira, Marisa Bräscher Basílio Medeiros
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Abstract

This is a research whose object of study is to evaluate a legal Information Retrieval system precision. This information retrieval system is based on a model that uses artificial intelligence technique known as Case-Based Reasoning (CBR). The principle of CBR is that a past legal case can be useful to solve a current problem, since there is between them some degree of similarity. This research uses jurisprudences produced by the Regional Electoral Tribunal of the Distrito Federal. The precision degree was evaluated from the result of a set of queries submitted to it. The method adopted for the evaluation was the same used in the Text REtrieval Conference in 2007 by Legal Track Task.
法律信息检索:评估基于案例的推理
本文的研究目的是对法律信息检索系统的准确性进行评价。该信息检索系统基于一种模型,该模型使用了称为基于案例的推理(CBR)的人工智能技术。CBR的原则是,过去的法律案件可能有助于解决当前的问题,因为它们之间存在某种程度的相似性。本研究采用了联邦大区选举法庭的判例。精确程度是根据提交给它的一组查询的结果来评估的。评估方法与2007年法律跟踪任务的文本检索会议相同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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