Combining multiple classifiers for text categorization
Proceedings of the tenth international conference on Information and knowledge management
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Information extraction from case law and retrieval of prior cases
Artificial Intelligence - Special issue on AI and law
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Creation of an expert witness database through text mining
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Mining Text for Expert Witnesses
IEEE Software
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Much of the information associated with legal, financial, medical and educational domains is stored in electronic document repositories and retrievable only by full text search. The ability of publishers to enhance such documents through traditional editorial processes struggles to keep pace with the volume and variety of textual data currently available in proprietary collections and on the Web. Fortunately, text mining tools that support the automatic classification, summarization, and linking of documents can be developed and deployed cost effectively. The outcome is a more flexible and dynamic approach to meta-data generation that does a better job of supporting the searching and browsing behaviors of information consumers. This paper describes the application of text and data mining techniques to legal information in a manner that enables powerful report generation and document recommendation services.