Radboud Winkels , Alexander Boer , and Bart Vredebregt have posted Towards a Legal Recommender System , a paper presented at JURIX 2014: International Conference on Legal Knowledge and Information Systems.
Here is the 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.
The paper appears to have won an award at JURIX 2014.
HT @radboud
Filed under: Accolades, Applications, Articles and papers, Conference papers, Technology developments, Technology tools Tagged: Alexander Boer, Automated categorization of legal citations, Bart Vredebregt, Immigration law information systems, JURIX 2014, Legal citation information systems, Legal citations, Legal machine learning, Legal recommendation systems, Legal recommender systems, Legislative information systems, Machine learning and law, Radboud Winkels
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