From Information Retrieval (IR) to Argument Retrieval (AR) for Legal Cases

From Information Retrieval (IR) to Argument Retrieval (AR) for Legal Cases: Report on a Baseline Study, Kevin D. Ashley and Vern R. Walker. In the Proceedings of the 26th International Conference on Legal Knowledge and Information Systems (JURIX 2013), held in Bologna, Italy, on December 11-13, 2013. Copy of full text available for download in .pdf format.

Abstract

Users of commercial legal information retrieval (IR) systems often want argument retrieval (AR): retrieving not merely sentences with highlighted terms, but arguments and argument-related information. Using a corpus of argument-annotated legal cases, we conducted a baseline study of current legal IR systems in responding to standard queries. We identify ways in which they cannot meet the need for AR and illustrate how additional argument-relevant information could address some of those inadequacies. We conclude by indicating our approach to developing an AR system to retrieve arguments from legal decisions.

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