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Towards a Legal Recommender System
Radboud Winkels, Alexander Boer, Bart Vredebregt, Alexander van Someren
169 - 178
10.3233/978-1-61499-468-8-169
Frontiers in Artificial Intelligence and Applications
Volume 271: Legal Knowledge and Information Systems
Abstract

In this paper we present the results of ongoing research aimed at a legal recommender system where users of a legislative portal receive suggestions of other relevant sources of law, given a focus document. We describe how we make references in case law to legislation explicit and machine readable, and how we use this information to adapt the suggestions of other relevant sources of law. We also describe an experiment in categorizing the references in case law, both by human experts and unsupervised machine learning. Results are tested in a prototype for Immigration Law.

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