Empirical study of deep learning for text classification in legal document review F Wei, H Qin, S Ye, H Zhao 2018 IEEE International Conference on Big Data (Big Data), 3317-3320, 2018 | 126 | 2018 |
A framework for explainable text classification in legal document review CJ Mahoney, J Zhang, N Huber-Fliflet, P Gronvall, H Zhao 2019 IEEE International Conference on Big Data (Big Data), 1858-1867, 2019 | 42 | 2019 |
Explainable text classification in legal document review a case study of explainable predictive coding R Chhatwal, P Gronvall, N Huber-Fliflet, R Keeling, J Zhang, H Zhao 2018 IEEE international conference on big data (Big Data), 1905-1911, 2018 | 41 | 2018 |
Empirical comparisons of CNN with other learning algorithms for text classification in legal document review R Keeling, R Chhatwal, N Huber-Fliflet, J Zhang, F Wei, H Zhao, Y Shi, ... 2019 IEEE International Conference on Big Data (Big Data), 2038-2042, 2019 | 30 | 2019 |
Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness R Chhatwal, N Huber-Fliflet, R Keeling, J Zhang, H Zhao 2016 IEEE International Conference on Big Data (Big Data), 1394 - 1401, 2016 | 26 | 2016 |
Empirical evaluations of active learning strategies in legal document review R Chhatwal, N Huber-Fliflet, R Keeling, J Zhang, H Zhao 2017 IEEE International Conference on Big Data (Big Data), 1428-1437, 2017 | 24 | 2017 |
Window based Enterprise Expert Search W Lu, S Robertson, A Macfarlane, L Zhao NIST Special Publication SP 500-272, 2007 | 24 | 2007 |
CNN application in detection of privileged documents in legal document review R Chhatwal, R Keeling, P Gronvall, N Huber-Fliflet, J Zhang, H Zhao 2020 IEEE international conference on big data (big data), 1485-1492, 2020 | 11 | 2020 |
Language Model Document Priors based on Citation and Co-citation Analysis. H Zhao, X Hu BIR@ ECIR, 29-36, 2014 | 11 | 2014 |
俄亥俄州立大学信息素养教育实践及启示 赵浩镇 情报理论与实践 31 (3), 477-480, 2008 | 10 | 2008 |
Sharding for literature search via cutting citation graphs H Zhao 2014 IEEE International Conference on Big Data (Big Data), 77-79, 2014 | 9 | 2014 |
Analyzing writing styles of bloggers with different opinions T Park, J Li, H Zhao, M Chau Proc. of the 19th Annual Workshop on Information Technologies and Systems …, 2009 | 9 | 2009 |
基于文档权重归并法的企业专家检索 陆伟, 赵浩镇 现代图书情报技术, 38-42, 2008 | 9 | 2008 |
An empirical study on transfer learning for privilege review H Zhao, S Ye, J Yang 2021 IEEE international conference on big data (Big Data), 2729-2733, 2021 | 8 | 2021 |
Using Machine Learning on Legal Matters: Paying Attention to the Data Behind the Curtain R Keeling, R Chhatwal, N Huber-Fliflet, J Zhang, H Zhao Hastings Sci. & Tech. LJ 11, 9, 2020 | 8 | 2020 |
Image Analytics for Legal Document Review: A Transfer Learning Approach N Huber-Fliflet, F Wei, H Zhao, H Qin, S Ye, A Tsang 2019 IEEE International Conference on Big Data (Big Data), 4325-4328, 2019 | 7 | 2019 |
Drexel at TREC 2014 Federated Web Search Track. H Zhao, X Hu TREC, 2014 | 6 | 2014 |
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters P Gronvall, N Huber-Fliflet, J Zhang, R Keeling, R Neary, H Zhao 2018 IEEE International Conference on Big Data (Big Data), 3282-3291, 2018 | 5 | 2018 |
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding CJ Mahoney, N Huber-Fliflet, H Zhao, J Zhang, P Gronvall, S Ye arXiv preprint arXiv:1906.04367, 2019 | 4 | 2019 |
A comparison of mapping algorithms for author co‐citation data analysis H Zhao, X Lin Proceedings of the American Society for Information Science and Technology …, 2010 | 4 | 2010 |