Automatic semantics extraction in law documents

Proceedings of the International Conference on Artificial Intelligence and Law

Volumn , Issue , 2005, Pages 133-140

  Biagioli, C ^a   Francesconi, E ^a   Passerini, A ^a   Montemagni, S ^a   Soria, C ^a  

^a CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLECTUAL ACTIVITIES; SEMANTIC ANNOTATIONS; SEMANTIC UNITS;

ARTIFICIAL INTELLIGENCE; SEMANTICS;

METADATA;

EID: 77950385842     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1165485.1165506     Document Type: Conference Paper

References (32)

1. R. Bartolini, A. Lenci, S. Montemagni, and V. Pirrelli. Grammar and lexicon in the robust parsing of italian: Towards a non-naïve interplay. In Proceedings of Coling 2002 Workshop on Grammar Engineering and Evaluation, 2002.
2. R. Bartolini, A. Lenci, S. Montemagni, and V. Pirrelli. The lexicon-grammar balance in robust parsing of italian. In Proceedings of 3rd International Conference on Language Resources and Evaluation, 2002.
3. R. Bartolini, A. Lenci, S. Montemagni, V. Pirrelli, and C. Soria. Automatic classification and analysis of provisions in italian legal texts: a case study. In Proceedings of the Second International Workshop on Regulatory Ontologies, 2004.
4. R. Bartolini, A. Lenci, S. Montemagni, and C. Soria. Semantic mark-up of legal texts through nlp-based metadata-oriented techniques. In Proceedings of 4rd International Conference on Language Resources and Evaluation, 2004.
5. C. Biagioli. Definitional elements of a language for representation of statutory. Rechtstheorie, 11, 1991.
6. C. Biagioli. Law making environment. In Proceedings of Workshop on Legal Knowledge and Legal Reasoning Systems, Tokyo, 1992.
7. C. Biagioli. Towards a legal rules functional micro-ontology. In Proceedings of workshop LEGONT '97, 1997.
8. C. Biagioli, E. Francesconi, P. Spinosa, and M. Taddei. The nir project: Standards and tools for legislative drafting and legal document web publication. In Proceedings of ICAIL Workshop on e-Government: Modelling Norms and Concepts as Key Issues, pages 69-78, 2003.
9. C. Bishop. Neural networks for pattern recognition. Oxford University Press, Oxford, 1995.
10. C. Burges. A tutorial on support vector machines for pattern recognition. In Data Mining and Knowledge Discovery. Kluwer Academic Publishers, Boston, 1998. (Volume 2).
11. S. W. C. Apté, F.J. Damerau. Automated learning of decision rules for text categorization. ACM Transactions on Information Systems, 12(3):233-251, 1994.
12. G. S. C. Buckley. Term-weighting approaches in automatic text retrieval. Information Processing and Management, 24(5):513-523, 1988.
13. C. Cortes and V. Vapnik. Support vector networks. Machine Learning, 20:1-25, 1995.
14. K. Crammer and Y. Singer. On the algorithmic implementation of multiclass kernel-based vector machines. Journal on Machine Learning Research, 2:265-292, 2002.
15. S. Dumais, J. Platt, D. Heckerman, and M. Sahami. Inductive learning algorithms and representations for text categorization. In CIKM '98: Proceedings of the seventh international conference on Information and knowledge management, pages 148-155, New York, NY, USA, 1998. ACM Press.
16. A. R. E. Schweighofer and M. Dittenbach. Automatic text representation, classification and labeling in european law. In Proceedings of the Eighth International Conference on Artificial Intelligence and Law, pages 78-87, 2001.
17. C.-W. Hsu and C.-J. Lin. A comparison of methods for multi-class support vector machines. IEEE Transactions on Neural Networks, 13(2):415-425, 2002.
18. F. Jensen. Introduction to Bayesian Networks. Springer-Verlag, 1996.
19. Y. Lee, Y. Lin, and G. Wahba. Multicategory support vector machines. Technical Report 1043, Dept. of Statistics, University of Wisconsin, 2001.
20. D. Lewis. Automating the construction of internet portals with machine learning. In Proceedings of ACM International Conference on Research and Development in Information Retrieval, pages 37-50, 1992.
21. F. Megale and F. Vitali. I dtd dei documenti di norme in rete. Informatica e Diritto, 1:167-231, 201.
22. A. Ng and M. Jordan. On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. In T. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, Cambridge, MA, 2002. MIT Press.
23. A. Passerini. Kernel Methods, Multiclass Classification and Applications to Computational Molecular Biology. Ph.d thesis, Università di Firenze, Italy, 2004.
24. J. Quinlan. Inductive learning of decision trees. Machine Learning, 1:81-106, 1986.
25. J. Raz. The Concept of a Legal System. Oxford University Press, 1980.
26. B. Schölkopf and A. Smola. Learning with Kernels. The MIT Press, Cambridge, MA, 2002.
27. F. Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34(1):1-47, 2002.
28. J. Shawe-Taylor and N. Cristianini. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004.
29. P. Spinosa. Identification of legal documents through urns (uniform resource names). In Proceedings of the EuroWeb 2001, The Web in Public Administration, 1997.
30. V. Vapnik. Statistical Learning Theory. Wiley, New York, 1998.
31. J. Weston and C. Watkins. Multi-class support vector machines. Technical Report CSD-TR-98-104, Royal Holloway, University of London, Department of Computer Science, 1998.
32. Y. Yang and J. Pedersen. A comparative study on feature selection in text categorization. In Proceedings of the Fourteenth International Conference on Machine Learning, pages 412-420. Morgan Kaufmann Publishers Inc., 1997.