An evaluation of retrieval effectiveness for a full-text document-retrieval system
Communications of the ACM
CONSTRUE/TIS: A System for Content-Based Indexing of a Database of News Stories
IAAI '90 Proceedings of the The Second Conference on Innovative Applications of Artificial Intelligence
State-of-the-art in privacy preserving data mining
ACM SIGMOD Record
Data extraction as text categorization: an experiment with the MUC-3 corpus
MUC3 '91 Proceedings of the 3rd conference on Message understanding
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
IEEE Intelligent Systems
Artificial Intelligence and Law
E-discovery revisited: the need for artificial intelligence beyond information retrieval
Artificial Intelligence and Law
Evaluation of information retrieval for E-discovery
Artificial Intelligence and Law
Artificial Intelligence and Law
Automation of legal sensemaking in e-discovery
Artificial Intelligence and Law
A new tangible user interface for machine learning document review
Artificial Intelligence and Law
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Research in Artificial Intelligence (AI) and the Law has maintained an emphasis on knowledge representation and formal reasoning during a period when statistical, data-driven approaches have ascended to dominance within AI as a whole. Electronic discovery is a legal application area, with substantial commercial and research interest, where there are compelling arguments in favor of both empirical and knowledge-based approaches. We discuss the cases for both perspectives, as well as the opportunities for beneficial synergies.