ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
DANIEL: integrating case-based and rule-based reasoning in law
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Information filtering: the computation of similarities in large corpora of legal texts
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Finding legally relevant passages in case opinions
Proceedings of the 6th international conference on Artificial intelligence and law
Proceedings of the 6th international conference on Artificial intelligence and law
Proceedings of the seventh international conference on Information and knowledge management
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
A cognitive approach to judicial opinion structure: applying domain expertise to component analysis
Proceedings of the 8th international conference on Artificial intelligence and law
The domain dependence of parsing
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Automatic detection of text genre
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Transferring and retraining learned information filters
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Smokey: automatic recognition of hostile messages
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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We describe a model-based filtering application that generates candidate case-to-case distinguishing citations. We developed the system to aid editors in identifying indirect relationships among judicial opinions in a database of over 5 million documents. Using a training collection of approximately 30,000 previously edited cases, the filter application provides ranked sets of textual evidence for current case law documents in the editorial process. These sets contain judicial language with a strong probability of containing distinguishing relationships. Integrating this application into the editorial review environment has greatly improved the coverage and efficiency of the work flow to identify and generate new distinguishing relationship entries.