Search Results for author: Robert Neary

Found 2 papers, 0 papers with code

An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters

no code implementations3 Apr 2019 Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao

Overly-inclusive keyword searching can also be problematic, because even while it drives up costs, it also can cast `too far of a net' and thus produce unreliable results. To overcome these weaknesses of keyword searching, legal teams are using a new method to target privileged information called predictive modeling.

Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding

no code implementations21 Mar 2019 Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye

Since there is limited research on this important component of predictive coding, the authors of this paper set out to identify strategies that consistently perform well.

Cannot find the paper you are looking for? You can Submit a new open access paper.