Preprint Article Version 1 NOT YET PEER-REVIEWED

Evaluation of Diversification Techniques for Legal Information Retrieval

  1. Knowledge and Database Systems Laboratory, Divison of Computer Science, School of Electrical and Computer Engineering, National Technical University of Athens, Iroon Polytechniou 9, Politechnioupoli Zographou, 15780 Athens, Greece
  2. Department of Computer Science and Biomedical Informatics, School of Sciences, University of Thessaly, Papassiopoulou 2-4, 35131 Lamia, Greece
Version 1 : Received: 22 November 2016 / Approved: 23 November 2016 / Online: 23 November 2016 (09:50:24 CET)

How to cite: Koniaris, M.; Anagnostopoulos, I.; Vassiliou, Y. Evaluation of Diversification Techniques for Legal Information Retrieval. Preprints 2016, 2016110116 (doi: 10.20944/preprints201611.0116.v1). Koniaris, M.; Anagnostopoulos, I.; Vassiliou, Y. Evaluation of Diversification Techniques for Legal Information Retrieval. Preprints 2016, 2016110116 (doi: 10.20944/preprints201611.0116.v1).

Abstract

"Public legal information from all countries and international institutions is part of the common heritage of humanity. Maximizing access to this information promotes justice and the rule of law". In accordance with the aforementioned declaration on Free Access to Law by Legal information institutes of the world, a plethora of legal information is available through the Internet, while the provision of legal information has never before been easier. Given that law is accessed by a much wider group of people, the majority of whom are not legally trained or qualified, diversification techniques, should be employed in the context of legal information retrieval, as to increase user satisfaction. We address diversification of results in legal search by adopting several state of the art methods from the web search, network analysis and text summarization domains. We provide an exhaustive evaluation of the methods, using a standard data set from the Common Law domain that we subjectively annotated with relevance judgments for this purpose. Our results i) reveal that users receive broader insights across the results they get from a legal information retrieval system, ii) demonstrate that web search diversification techniques outperform other approaches (e.g., summarization-based, graph-based methods) in the context of legal diversification and iii) offer balance boundaries between reinforcing relevant documents or sampling the information space around the legal query.

Subject Areas

diversity; algorithms; legal information retrieval

Readers' Comments and Ratings (0)

Discuss and rate this article
Views 59
Downloads 44
Comments 0
Metrics 0
Discuss and rate this article

×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.