COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Automated extraction of normative references in legal texts
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Automatic semantics extraction in law documents
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Automatic classification of provisions in legislative texts
Artificial Intelligence and Law - AI & law in eGovernment and eDemocracy part II
Extracting semantic annotations from legal texts
Proceedings of the 20th ACM conference on Hypertext and hypermedia
NLP-based extraction of modificatory provisions semantics
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Automated Handling of Amending Documents and Resulting Consolidations
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
Semantic Annotation of Legal Modificatory Provisions
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Model regularity of legal language in active modifications
AICOL-I/IVR-XXIV'09 Proceedings of the 2009 international conference on AI approaches to the complexity of legal systems: complex systems, the semantic web, ontologies, argumentation, and dialogue
Automated classification of norms in sources of law
Semantic Processing of Legal Texts
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One open problem in the AI & Law community is how to provide computers with a basic understanding of legal concepts, and their relationship with legal texts and with the legal lexicon. We propose to add a layer to connect the linguistic description of the provisions to syntactic patterns using FramNet that can be exploited thought NLP tools. A deep-parsing and shallow-semantics approach has been devised to interpret and retrieve the characterizing components of legal modificatory provisions. In this paper we single out the case of efficacy suspension and show how FrameNet approach can provide profit especially to isolate temporal parameters and their interpretation.