Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
The engineering of knowledge-based systems: theory and practice
The engineering of knowledge-based systems: theory and practice
Participating in explanatory dialogues: interpreting and responding to questions in context
Participating in explanatory dialogues: interpreting and responding to questions in context
Measuring the value of knowledge
International Journal of Human-Computer Studies
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Knowledge discovery in the Split Up project
Proceedings of the 6th international conference on Artificial intelligence and law
Proceedings of the 6th international conference on Artificial intelligence and law
Evaluating a learning environment for case-based argumentation skills
Proceedings of the 6th international conference on Artificial intelligence and law
Frame-Based Conceptual Models of Statute Law
Frame-Based Conceptual Models of Statute Law
Developing computational models of discretion to build legal knowledge based systems
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Proceedings of the 8th international conference on Artificial intelligence and law
Using logic programming to model Multi-Agent web legal systems – an application report
Proceedings of the 8th international conference on Artificial intelligence and law
Tools for World Wide Web based legal decision support systems
Proceedings of the 8th international conference on Artificial intelligence and law
An Interactive Graph Based Legal Information Retrieval System
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
Logic-based regulation compliance-assistance
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Regnet: an infrastructure for regulatory information management and compliance assistance
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
Regulatory information management and compliance assistance
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Integrating induction and deduction for finding evidence of discrimination
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Integrating induction and deduction for finding evidence of discrimination
Artificial Intelligence and Law
Building e-laws ontology: new approach
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
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Evaluation strategies to assess the effectiveness of legal knowledge based systems enable strengths and limitations of systems to be accurately articulated. This facilitates efforts in the research community to develop systems and also promotes the adoption of research prototypes in the commercial world. However, evaluation strategies for systems that operate in a domain as complex as law are difficult to specify. In this paper, we present an evaluation framework put forward by Reich and describe how this motivated the evaluation of our systems in Australian family law. Strategies surveyed include a comparison of linear regression with neural networks, user acceptance surveys, a comparison of system predictions with those from past cases, and a comparison of system outputs with those proposed by a panel of lawyers. Specific criteria for the evaluation of explanation facilities are also described.