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Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness.

, , , , and . IEEE BigData, page 1394-1401. IEEE Computer Society, (2016)

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Empirical Study of Deep Learning for Text Classification in Legal Document Review., , , and . IEEE BigData, page 3317-3320. IEEE, (2018)Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review., , , , , , , and . IEEE BigData, page 2038-2042. IEEE, (2019)Empirical evaluations of active learning strategies in legal document review., , , , and . IEEE BigData, page 1428-1437. IEEE Computer Society, (2017)Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images., , , , , and . IEEE BigData, page 2127-2130. IEEE, (2020)Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding., , , , , and . LegalAIIA@ICAIL, volume 2484 of CEUR Workshop Proceedings, page 23-31. CEUR-WS.org, (2019)Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness., , , , and . IEEE BigData, page 1394-1401. IEEE Computer Society, (2016)An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters., , , , , and . IEEE BigData, page 3282-3291. IEEE, (2018)Image Analytics for Legal Document Review : A Transfer Learning Approach., , , , , and . IEEE BigData, page 4325-4328. IEEE, (2019)WHU at Blog Track 2007., , and . TREC, volume 500-274 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2007)Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review., , , , , , , and . CoRR, (2019)