ARCHIVED CONTENT
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CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active.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 A. Jones, M. Bazrafshan, F. Delgado, T. Lihatsh, and T. Schuyler.
Regardless of whether most machine learning algorithms currently incorporate metadata, if we accept the importance of metadata to the eDiscovery process, it is reasonable to propose that metadata can and should be incorporated into the machine learning process for TAR. Questions still remain, however, regarding the extent to which metadata fields should be utilized, which fields are likely to be most constructive, and which techniques would prove most efficacious for leveraging the contents of these fields in algorithm development.
Read the complete paper at: (DESI VI Workshop)
Source: ICAIL 2015