Combining structured and unstructured information in a retrieval model for accessing legislation

Authors:
Marie-Francine Moens
Affiliations:
Katholieke Universiteit Leuven, Leuven, Belgium
Venue:
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Year:
2005

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Abstract

Legislative sources are currently accessible via portal web sites. Users demand precise and exhaustive answers to their information queries. When legislation is drafted, it contains text-rich information that is increasingly marked with XML tags. The statute structure as signaled by XML markup can be exploited to more precisely answer free information queries. In this paper we report on several XML retrieval models that we explicitly designed for the retrieval of legislation. We show that the models provide more advanced access to the content of statutes.