Robert Keeling

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 14

Top Topics

Empirical Evaluation

Active Learning Strategies

Predictive Coding

Text Classification

Top Venues

Publications

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)
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)
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)
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)
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)
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)
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)