Designing text retrieval systems for conceptual searching
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Explanation facilities and interactive systems
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Constructing an associative concept space for literature-based discovery
Journal of the American Society for Information Science and Technology
Proceedings of the 10th international conference on Intelligent user interfaces
Explanation in Recommender Systems
Artificial Intelligence Review
Case law retrieval by concept search and visualization
Proceedings of the 11th international conference on Artificial intelligence and law
Thesaurus-based Retrieval of Case Law
Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
Computable Models of the Law
BestPortal: Lessons Learned in Lightweight Semantic Access to Court Proceedings
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
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In the context of intelligent disclosure of case law, we report on our findings with respect to the presentation of relevant court decisions back to the laymen users. For this presentation we first localize the relevant legal concepts in the cases using shallow NLP techniques. Hereafter we investigated the use of techniques from the field of recommender systems, i.e. keyword style explanation and influence style explanation, to present the cases to the user in an understandable way. In order to find out if we succeeded in that respect, we conducted a small user satisfaction research. It shows promising results, and gives us some directions for future research.