Chrome Extension
WeChat Mini Program
Use on ChatGLM

Unbiased Validation of Technology-Assisted Review for eDiscovery

Gordon V Cormack,Maura R Grossman, Andrew Harbison, Tom O'Halloran,Bronagh Mcmanus

SIGIR 2024(2024)

Cited 0|Views1
No score
Abstract
Although it is well established that recall estimates are valid only when based on independent relevance assessments, and useful only to compare the relative effectiveness of competing methods, these conditions are seldom met when validating eDiscovery efforts in litigation. We present two unbiased validation strategies that embed blind relevance assessments into a technology-assisted review (TAR) process, so as to compare its recall to that which would have been achieved by exhaustive manual review. We illustrate the use of these strategies within the context of TAR occasioned by litigation over accounting practices preceding the collapse of a major insurance company.
More
Translated text
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined