Peter Gronvall

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Electronic Documents

Active Learning Strategies

Document Images

Predictive Coding

Top Venues

Publications

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 (2023)
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. BigData (2023)
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. BigData (2023)
Robert Keeling, Ava Guo, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang
Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review. Big Data (2022)
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. Big Data (2022)
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 (2021)
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)
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)
Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao
A Framework for Explainable Text Classification in Legal Document Review. CoRR (2019)
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 (2019)
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 (2019)
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)
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 (2019)
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)
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)