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An Empirical Study on Transfer Learning for Privilege Review


Dec 16, 2021
Haozhen Zhao, Shi Ye, Jingchao Yang

* 2021 IEEE International Conference on Big Data (Big Data) 

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Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images


Feb 05, 2021
Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye

* 2020 IEEE International Conference on Big Data (Big Data) 

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Image Analytics for Legal Document Review: A Transfer Learning Approach


Dec 19, 2019
Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang

* 2019 IEEE International Conference on Big Data (Big Data) 

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Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review


Dec 19, 2019
Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Shi Ye, Han Qin

* 2019 IEEE International Conference on Big Data (Big Data) 

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Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding


Jun 11, 2019
Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye

* 1st International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA) at The 17th International Conference on Artificial Intelligence and Law (ICAIL 2019) 

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Empirical Study of Deep Learning for Text Classification in Legal Document Review


Apr 03, 2019
Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao

* 2018 IEEE International Conference on Big Data (Big Data) 

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Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding


Mar 21, 2019
Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye

* 2018 IEEE International Conference on Big Data 

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