Automatic generation of amendment legislation
Proceedings of the 6th international conference on Artificial intelligence and law
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Automatic semantics extraction in law documents
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Deep semantic interpretations of legal texts
Proceedings of the 11th international conference on Artificial intelligence and law
Legal text analysis of the modification provisions: a pattern oriented approach
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Time model for managing the dynamic of normative system
EGOV'06 Proceedings of the 5th international conference on Electronic Government
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
FrameNet model of the suspension of norms
Proceedings of the 13th International Conference on Artificial Intelligence and Law
LegalRuleML: XML-based rules and norms
RuleML'11 Proceedings of the 5th international conference on Rule-based modeling and computing on the semantic web
Semantic annotation of legal texts through a framenet-based approach
AICOL'11 Proceedings of the 25th IVR Congress conference on AI Approaches to the Complexity of Legal Systems: models and ethical challenges for legal systems, legal language and legal ontologies, argumentation and software agents
Modificatory provisions detection: a hybrid NLP approach
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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In this paper we illustrare a research based on NLP techniques aimed at automatically annotate modificatory provisions. We propose an approach which pairs deep syntactic parsing with rule-based shallow semantic analysis relying on a fine-grained taxonomy of modificatory provisions. The implemented system is evaluated on a large dataset hand-crafted by legal experts; the results are discussed and future directions of the research outlined.