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ORCIDJianping Zhang 0003
- > Home > Persons > Jianping Zhang 0003
Publications
- 2023
[c16]Fusheng Wei, Robert Keeling, Nathaniel Huber-Fliflet, Jianping Zhang, Adam Dabrowski, Jingchao Yang, Qiang Mao, Han Qin:
Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review. IEEE Big Data 2023: 2786-2792- 2022
- [c14]Robert Keeling, Ava Guo, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang:
Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review. IEEE Big Data 2022: 2279-2284 - 2021
- [i8]Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao:
CNN Application in Detection of Privileged Documents in Legal Document Review. CoRR abs/2102.04845 (2021) - 2020
- [c13]Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao:
CNN Application in Detection of Privileged Documents in Legal Document Review. IEEE BigData 2020: 1485-1492 - 2019
- [c11]Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Ye Shi
, Han Qin:
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. IEEE BigData 2019: 2038-2042 - [i7]Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Empirical Evaluations of Preprocessing Parameters' Impact on Predictive Coding's Effectiveness. CoRR abs/1904.01718 (2019) - [i6]Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Empirical Evaluations of Active Learning Strategies in Legal Document Review. CoRR abs/1904.01719 (2019) - [i5]Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. CoRR abs/1904.01721 (2019) - [i4]Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao:
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters. CoRR abs/1904.01722 (2019) - [i2]Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Shi Ye, Han Qin:
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. CoRR abs/1912.09499 (2019) - 2018
- [c9]Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. IEEE BigData 2018: 1905-1911 - [c8]Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao:
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters. IEEE BigData 2018: 3282-3291 - 2017
- [c7]Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Empirical evaluations of active learning strategies in legal document review. IEEE BigData 2017: 1428-1437 - 2016
- [c6]Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness. IEEE BigData 2016: 1394-1401
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