Nathaniel Huber-Fliflet

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 28

Top Topics

Empirical Evaluation

Active Learning Strategies

Predictive Coding

Text Classification

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)
Jingchao Yang, Fusheng Wei, Nathaniel Huber-Fliflet, Adam Dabrowski, Qiang Mao, Han Qin
An Empirical Analysis of Text Segmentation for BERT Classification in Extended Documents. BigData (2023)
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. BigData (2023)
Chris Clark, Han Qin, Nathaniel Huber-Fliflet, Adam Dabrowski, Jianping Zhang
Exploring the Performance Impacts of Training Predictive Models with Inclusive Email Threads. 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)
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
Empirical Evaluations of Preprocessing Parameters' Impact on Predictive Coding's Effectiveness. CoRR (2019)
Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang
Image Analytics for Legal Document Review: A Transfer Learning Approach. CoRR (2019)
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)
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, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. CoRR (2019)
Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang
Image Analytics for Legal Document Review : A Transfer Learning Approach. IEEE BigData (2019)
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 (2019)
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
Empirical Evaluations of Active Learning Strategies in Legal Document Review. CoRR (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)
Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. IEEE BigData (2018)
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)
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
Empirical evaluations of active learning strategies in legal document review. IEEE BigData (2017)
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)