Formalization of legislative documents based on a functional model
Proceedings of the 6th international conference on Artificial intelligence and law
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
Automatic semantics extraction in law documents
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Automated Detection of Reference Structures in Law
Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
Developing Content for LKIF: Ontologies and Frameworks for Legal Reasoning
Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
Towards Semantic Interpretation of Legal Modifications through Deep Syntactic Analysis
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
Automatic Classification of Sentences in Dutch Laws
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
A next step towards automated modelling of sources of law
Proceedings of the 12th International Conference on Artificial Intelligence and Law
The LME project: legislative metadata based on semantic formal models
International Journal of Metadata, Semantics and Ontologies
Machine Learning versus Knowledge Based Classification of Legal Texts
Proceedings of the 2010 conference on Legal Knowledge and Information Systems: JURIX 2010: The Twenty-Third Annual Conference
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Automated classification of norms in sources of law
Semantic Processing of Legal Texts
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In a lot of existing legal knowledge based applications, the underlying legal model does not retain isomorphism with the original legal text. Parts of the text have not been modelled, and other parts have been simplified to single if-then-else clauses. This makes these models difficult to validate, maintain and re-use. In this article we propose to make an intermediate model, in which the original structure of the legal text is still represented. A first step is the detection and classification of norms in sentences in legal texts. We present a classification of norms or provisions based on the analyses of a large body of Dutch law. The classification covers all text constructs found thus far and we claim the use of typical sentence structures enables automation of a large part of this task.