CHINATAX: exploring isomorphism with chinese law
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Using genetic algorithms to inductively reason with cases in the legal domain
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Toward adding knowledge to learning algorithms for indexing legal cases
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Improving the representation of legal case texts with information extraction methods
Proceedings of the 8th international conference on Artificial intelligence and law
Automatic categorization of case law
Proceedings of the 8th international conference on Artificial intelligence and law
Machine Learning
Feature Weight Maintenance in Case Bases Using Introspective Learning
Journal of Intelligent Information Systems
Classification and clustering for case-based criminal summary judgments
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Dependency-based syntactic analysis of Chinese and annotation of parsed corpus
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Exploring phrase-based classification of judicial documents for criminal charges in chinese
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Hi-index | 0.00 |
Along with the increasing accessibility of the Web, services available on the Web have expanded into several aspects of our lives. As a relatively new comer, Web-based legal services have become another front in the arena. For instance, through such services, people obtain rough pictures of the lawsuits of interest before they decide whether and how to approach their counselors. As a step toward offering online legal services, we propose algorithms for classifying criminal charges in Chinese based on the alleged criminal violations that the district attorney used to prosecute the defendants. The classification is not trivial because some prosecutions involve violations of multiple articles in the criminal law, and we wish to classify lawsuits as precisely as possible. We employ techniques of instance-based classification and introspective learning for the classification task, and achieve satisfactory initial results for classifying charges of larceny and gambling.