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2020 – today
- 2023
[c9]Christian J. Mahoney, Nathaniel Huber-Fliflet, Peter Gronvall, Chris Clark, Jianping Zhang, Fusheng Wei, Qiang Mao:
Exploring Approaches to Optimize the Performance of Predictive Coding on Multilanguage Data Sets. IEEE Big Data 2023: 1774-1781- [c8]Nathaniel Huber-Fliflet, Jianping Zhang, Peter Gronvall, Fusheng Wei, Philip Spinelli, Adam Dabrowski, Jingchao Yang:
Explainable Text Classification for Legal Document Review in Construction Delay Disputes. IEEE Big Data 2023: 1928-1933 - [i6]Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang:
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets. CoRR abs/2311.09133 (2023) - 2022
- [c7]Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang:
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets. IEEE Big Data 2022: 2044-2051 - [c6]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
- [i5]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
- [c5]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
2010 – 2019
- 2019
- [c4]Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao:
A Framework for Explainable Text Classification in Legal Document Review. IEEE BigData 2019: 1858-1867 - [c3]Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye:
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. LegalAIIA@ICAIL 2019: 23-31 - [i4]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) - [i3]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]Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye:
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. CoRR abs/1906.04367 (2019) - [i1]Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao:
A Framework for Explainable Text Classification in Legal Document Review. CoRR abs/1912.09501 (2019) - 2018
- [c2]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 - [c1]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
Coauthor Index
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