Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Automated learning of decision rules for text categorization
ACM Transactions on Information Systems (TOIS)
Machine Learning
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Introduction to Bayesian Networks
Introduction to Bayesian Networks
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
On the algorithmic implementation of multiclass kernel-based vector machines
The Journal of Machine Learning Research
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Automatic semantics extraction in law documents
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
A legal drafting environment based on formal and semantic XML standards
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
A Semantics-based Visual Framework for Planning a New Bill
Proceedings of the 2005 conference on Legal Knowledge and Information Systems: JURIX 2005: The Eighteenth Annual Conference
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
Legal text analysis of the modification provisions: a pattern oriented approach
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Integrated access to legal literature through automated semantic classification
Artificial Intelligence and Law
An Approach to Legal Rules Modelling and Automatic Learning
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
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
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
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 Processing of Legal Texts
Modificatory provisions detection: a hybrid NLP approach
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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Legislation usually lacks a systematic organization which makes the management and the access to norms a hard problem to face. A more analytic semantic unit of reference (provision) for legislative texts was identified. A model of provisions (provisions types and their arguments) allows to describe the semantics of rules in legislative texts. It can be used to develop advanced semantic-based applications and services on legislation. In this paper an automatic bottom-up strategy to qualify existing legislative texts in terms of provision types is described.