Concept and Context in Legal Information Retrieval

12 years 3 months ago
Concept and Context in Legal Information Retrieval
Abstract. There exist two broad approaches to information retrieval (IR) in the legal domain: those based on manual knowledge engineering (KE) and those based on natural language processing (NLP). The KE approach is grounded in artificial intelligence (AI) and case-based reasoning (CBR), whilst the NLP approach is associated with open domain statistical retrieval. We provide some original arguments regarding the focus on KE-based retrieval in the past and why this is not sustainable in the long term. Legal approaches to questioning (NLP), rather than arguing (CBR), are proposed as the appropriate jurisprudential and cognitive underpinning for legal IR. Recall within the context of precision is proposed as a better fit to law than the `total recall' model of the past, wherein conceptual and contextual search are combined to improve retrieval performance for both parties in a dispute. Keywords. Information retrieval, natural language processing, recall, precision
K. Tamsin Maxwell, Burkhard Schafer
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Authors K. Tamsin Maxwell, Burkhard Schafer
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