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You are viewing ARCHIVED CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active. Content in this archive is NOT UPDATED, and links may not function.By John Tredennick
As most e-discovery professionals know, two leading experts in technology assisted review, Maura R. Grossman and Gordon V. Cormack, recently presented the first peer-reviewed scientific study on the effectiveness of several TAR protocols, “Evaluation of Machine-Learning Protocols for Technology-Assisted Review in Electronic Discovery,” to the annual conference of the Special Interest Group on Information Retrieval, a part of the Association for Computing Machinery (ACM).
Perhaps the most important conclusion of the study was that an advanced TAR 2.0 protocol, continuous active learning (CAL), proved to be far more effective than the two standard TAR 1.0 protocols used by most of the early products on the market today—simple passive learning (SPL) and simple active learning (SAL).