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. ...
Rosina Weber-Lee, Ricardo Miranda Barcia, Marcio C...
This paper presents an algorithm called IBP that combines case-based and model-based reasoning for an interpretive CBR application, predicting the outcome of legal cases. IBP uses ...
Case-based reasoning in the law is a reasoning strategy in which legal conclusions are supported by decisions made by judges. If the case at hand is analogous to a settled case, th...
Studying examples of expert case-based adaptation could advance computational modeling but only if the examples can be succinctly represented and reliably interpreted. Supreme Cour...
Kevin D. Ashley, Collin Lynch, Niels Pinkwart, Vin...
In this paper, we introduce IBP, an algorithm that combines g with an abstract domain model and case-based reasoning techniques to predict the outcome of case-based legal argument...