Nathaniel Huber-Fliflet

40 papers B 15Journal 15Unranked 10
YearRankTypeTitle / Venue / Authors
2025 B conf
A Comparative Study of Retrieval Methods in Azure AI Search.
IEEE Big Data
Qiang Mao, Han Qin, Robert Neary, Charles Wang, Fusheng Wei, Jianping Zhang, Nathaniel Huber-Fliflet
2025 J jnl
A Comparative Study of Retrieval Methods in Azure AI Search.
CoRR
Qiang Mao, Han Qin, Robert Neary, Charles Wang, Fusheng Wei, Jianping Zhang, Nathaniel Huber-Fliflet
2025 B conf
Detecting Privileged Documents by Ranking Connected Network Entities.
IEEE Big Data
Jianping Zhang, Han Qin, Nathaniel Huber-Fliflet
2025 J jnl
Detecting Privileged Documents by Ranking Connected Network Entities.
CoRR
Jianping Zhang, Han Qin, Nathaniel Huber-Fliflet
2025 B conf
Exploiting the Randomness of Large Language Models (LLM) in Text Classification Tasks: Locating Privileged Documents in Legal Matters.
IEEE Big Data
Keith Huffman, Jianping Zhang, Nathaniel Huber-Fliflet, Fusheng Wei, Peter Gronvall
2025 J jnl
Exploiting the Randomness of Large Language Models (LLM) in Text Classification Tasks: Locating Privileged Documents in Legal Matters.
CoRR
Keith Huffman, Jianping Zhang, Nathaniel Huber-Fliflet, Fusheng Wei, Peter Gronvall
2025 B conf
Leveraging Machine Learning and Large Language Models for Automated Image Clustering and Description in Legal Discovery.
IEEE Big Data
Qiang Mao, Fusheng Wei, Robert Neary, Charles Wang, Han Qin, Jianping Zhang, Nathaniel Huber-Fliflet
2025 J jnl
Leveraging Machine Learning and Large Language Models for Automated Image Clustering and Description in Legal Discovery.
CoRR
Qiang Mao, Fusheng Wei, Robert Neary, Charles Wang, Han Qin, Jianping Zhang, Nathaniel Huber-Fliflet
2024 B conf
A Hybrid Approach for Privilege Document Review: Rule-Based and Machine Learning.
IEEE Big Data
Jingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet
2024 B conf
Comparative Analysis of LLM-Generated Event Timeline Summarization for Legal Investigations.
IEEE Big Data
Qiang Mao, Adam Dabrowski, Fusheng Wei, Eric Olson, Robert Neary, Jingchao Yang, Han Qin, Nathaniel Huber-Fliflet
2024 B conf
Empirical Evaluation of Ensemble and Single Model Approaches for Multilingual Predictive Coding.
IEEE Big Data
Jingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet, Fusheng Wei, Qiang Mao
2024 B conf
Experimental Study of In-Context Learning for Text Classification and Its Application to Legal Document Review in Construction Delay Disputes.
IEEE Big Data
Nathaniel Huber-Fliflet, Jianping Zhang, Peter Gronvall, Fusheng Wei, Philip Spinelli
2023 B conf
An Empirical Analysis of Text Segmentation for BERT Classification in Extended Documents.
IEEE Big Data
Jingchao Yang, Fusheng Wei, Nathaniel Huber-Fliflet, Adam Dabrowski, Qiang Mao, Han Qin
2023 B conf
Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review.
IEEE Big Data
Fusheng Wei, Robert Keeling, Nathaniel Huber-Fliflet, Jianping Zhang, Adam Dabrowski, Jingchao Yang, Qiang Mao, Han Qin
2023 J jnl
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets.
CoRR
Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang
2023 B conf
Explainable Text Classification for Legal Document Review in Construction Delay Disputes.
IEEE Big Data
Nathaniel Huber-Fliflet, Jianping Zhang, Peter Gronvall, Fusheng Wei, Philip Spinelli, Adam Dabrowski, Jingchao Yang
2023 B conf
Exploring Approaches to Optimize the Performance of Predictive Coding on Multilanguage Data Sets.
IEEE Big Data
Christian J. Mahoney, Nathaniel Huber-Fliflet, Peter Gronvall, Chris Clark, Jianping Zhang, Fusheng Wei, Qiang Mao
2023 B conf
Exploring the Performance Impacts of Training Predictive Models with Inclusive Email Threads.
IEEE Big Data
Chris Clark, Han Qin, Nathaniel Huber-Fliflet, Adam Dabrowski, Jianping Zhang
2022 B conf
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets.
IEEE Big Data
Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang
2022 B conf
Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review.
IEEE Big Data
Robert Keeling, Ava Guo, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang
2021 J jnl
CNN Application in Detection of Privileged Documents in Legal Document Review.
CoRR
Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao
2020 — conf
CNN Application in Detection of Privileged Documents in Legal Document Review.
IEEE BigData
Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao
2019 — conf
A Framework for Explainable Text Classification in Legal Document Review.
IEEE BigData
Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao
2019 J jnl
A Framework for Explainable Text Classification in Legal Document Review.
CoRR
Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao
2019 J jnl
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters.
CoRR
Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao
2019 — conf
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review.
IEEE BigData
Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Ye Shi, Han Qin
2019 J jnl
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review.
CoRR
Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Shi Ye, Han Qin
2019 J jnl
Empirical Evaluations of Active Learning Strategies in Legal Document Review.
CoRR
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2019 J jnl
Empirical Evaluations of Preprocessing Parameters' Impact on Predictive Coding's Effectiveness.
CoRR
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2019 J jnl
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding.
CoRR
Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
2019 — conf
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding.
LegalAIIA@ICAIL
Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye
2019 J jnl
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding.
CoRR
Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye
2019 J jnl
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding.
CoRR
Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2019 — conf
Image Analytics for Legal Document Review : A Transfer Learning Approach.
IEEE BigData
Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang
2019 J jnl
Image Analytics for Legal Document Review: A Transfer Learning Approach.
CoRR
Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang
2018 — conf
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters.
IEEE BigData
Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao
2018 — conf
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding.
IEEE BigData
Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
2018 — conf
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding.
IEEE BigData
Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2017 — conf
Empirical evaluations of active learning strategies in legal document review.
IEEE BigData
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2016 — conf
Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness.
IEEE BigData
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao