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A comparative evaluation of name-matching algorithms

Authors: 
Branting, LK
Year: 
2003
Venue: 
Proc. 9th Int. Conf. on Artificial Intelligence and Law

Name matching---recognizing when two different strings are likely to denote the same entity---is an important task in many legal information systems, such as case-management systems. The naming conventions peculiar to legal cases limit the effectiveness of generic approximate string-matching algorithms in this task.

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