Automatic generation of amendment legislation
Proceedings of the 6th international conference on Artificial intelligence and law
Deep semantic interpretations of legal texts
Proceedings of the 11th international conference on Artificial intelligence and law
Unsupervised semantic markup of literature for biodiversity digital libraries
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
A simple method for citation metadata extraction using hidden markov models
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Computational linguistics for metadata building
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
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
STIA: Experience of Semantic Annotation in Jurisprudence Domain
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
FrameNet model of the suspension of norms
Proceedings of the 13th International Conference on Artificial Intelligence and Law
| Hi-index | 0.00 |
This paper illustrates a system designed to automatically extract semantic annotations of the normative modifications present in legal texts. The work relies on a deep parsing approach. The problem of semantically annotating legal texts is cast to the problem of mapping parse trees to semantic frames representing such modifications. We report a preliminary experimentation along with the dataset employed, and discuss the results to point out future improvements.