An evaluation of retrieval effectiveness for a full-text document-retrieval system
Communications of the ACM
The cost structure of sensemaking
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
A case for interaction: a study of interactive information retrieval behavior and effectiveness
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information Architecture for the World Wide Web
Information Architecture for the World Wide Web
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
ECML '98 Proceedings of the 10th European Conference on Machine Learning
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
Making Sense of Sensemaking 2: A Macrocognitive Model
IEEE Intelligent Systems
Document categorization in legal electronic discovery: computer classification vs. manual review
Journal of the American Society for Information Science and Technology
Impedance matching of humans * machines in high-Q information retrieval systems
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Artificial Intelligence and Law
Afterword: data, knowledge, and e-discovery
Artificial Intelligence and Law
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Retrieval of relevant unstructured information from the ever-increasing textual communications of individuals and businesses has become a major barrier to effective litigation/defense, mergers/acquisitions, and regulatory compliance. Such e-discovery requires simultaneously high precision with high recall (high-P/R) and is therefore a prototype for many legal reasoning tasks. The requisite exhaustive information retrieval (IR) system must employ very different techniques than those applicable in the hyper-precise, consumer search task where insignificant recall is the accepted norm. We apply Russell, et al.'s cognitive task analysis of sensemaking by intelligence analysts to develop a semi-autonomous system that achieves high IR accuracy of FI ≥ 0.8 compared to F1