Error-Tolerant E-Discovery Protocols
Author:
Affiliation:
1. Northwestern University, Evanston, IL, USA
2. Toyota Technology Institute at Chicago, Chicago, IL, USA
Funder
NSF (National Science Foundation)
NSF
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3614407.3643703
Reference26 articles.
1. The Power of Localization for Efficiently Learning Linear Separators with Noise
2. Wei-Cheng Chang, Felix X Yu, Yin-Wen Chang, Yiming Yang, and Sanjiv Kumar. 2020. Pre-training tasks for embedding-based large-scale retrieval. arXiv preprint arXiv:2002.03932 (2020).
3. More output-sensitive geometric algorithms
4. Evaluation of machine-learning protocols for technology-assisted review in electronic discovery
5. Gordon V Cormack and Maura R Grossman. 2017. Technology-Assisted Review in Empirical Medicine: Waterloo Participation in CLEF eHealth 2017. CLEF (working notes) 11 (2017).
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