Title of article
USING STATUTES-BASED IR DRIVE LEGAL CBR
Author/Authors
Elhadi، Mohamed T. نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2001
Pages
-586
From page
587
To page
0
Abstract
A hybrid information retrieval (IR) system to drive case-based reasoning (CBR) in legal domains is presented. The paper points out the assumptions made and processes involved in a typical mental conceptualization an intuitive model of how human beings represent, recognize and retrieve concepts. The world of general discourse is simplified into a narrow domain, limiting the set of concepts, terms, and structures. The limitation allows the application of stereotypical scenarios. Legislatorsʹ professional work creates, based on the logic of law, a natural basis for an indexing and retrieving structure which can be used as a front-end processor for a legal CBR system. The practical application of the combined IR-CBR system is demonstrated by experiments in Bankruptcy Case Law. The natural language description of a novel situation (case text) is the input, which is automatically classified for the production of similar casesʹ lists.
Journal title
Applied Artificial Intelligence
Serial Year
2001
Journal title
Applied Artificial Intelligence
Record number
51998
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