Finding legally relevant passages in case opinions
Proceedings of the 6th international conference on Artificial intelligence and law
Abstracting of legal cases: the SALOMON experience
Proceedings of the 6th international conference on Artificial intelligence and law
Teaching case-based argumentation through a model and examples
Teaching case-based argumentation through a model and examples
Information extraction from case law and retrieval of prior cases
Artificial Intelligence - Special issue on AI and law
The Knowledge Engineering Review
Evaluation of semantic events for legal case retrieval
Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
An ontology in OWL for legal case-based reasoning
Artificial Intelligence and Law
Argument Schemes for Legal Case-based Reasoning
Proceedings of the 2007 conference on Legal Knowledge and Information Systems: JURIX 2007: The Twentieth Annual Conference
Automatically classifying case texts and predicting outcomes
Artificial Intelligence and Law
Proceedings of the 13th International Conference on Artificial Intelligence and Law
| Hi-index | 0.00 |
Legal case factors are textually represented facts which are represented in reported legal case decisions. Precedent decisions contribute to the decision of a case under consideration. As textually represented facts, factors linguistically encode semantic properties and relationships among the entities which can be leveraged to identify and extract the legal case factors from decisions. We integrate legal and linguistic resources in a text analysis tool with which we annotate textual passages. Using annotations tailored to legal case factors, the legal researcher can rapidly zero in on textual spans which represent specific combinations of factors, participants, and semantic properties which bear on who played what role with respect to a factor. The research reports progress on the development of a tool.