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ml4arc - Machine Learning, Deep Learning, and Natural Language Processing Applications in Archives
Friday, July 26, 2019 - 9:00am
Wilson Library, Pleasants Family Assembly Room
The RATOM Project will host “ml4arc - Machine Learning, Deep Learning, and Natural Language Processing Applications in Archives” July 26, 2019, from 9 a.m.-5 p.m. at Wilson Library, Pleasants Room on the campus of UNC Chapel Hill. The event will focus on applications of machine learning, deep learning, and natural language processing to support use, access, and analysis of digital primary source materials.
The day will include a series of talks by internationally-recognized experts, followed by a set of participant-driven discussions. Speakers will include:
Euan Cochrane, Digital Preservation Manager, Yale University Library
Kevin DeVorsey, Senior Electronic Records Policy Analyst, National Archives and Records Administration
Glynn Edwards, Assistant Director of Special Collections, Stanford University
Matthew Farrell, Digital Records Archivist, Duke University
Lynda Schmitz Fuhrig, Electronic Records Archivist, Smithsonian Institute Archives
Kathleen Jordan, Digital Initiatives and Web Services Manager, Library of Virginia
Joanne Kaczmarek, Associate Professor / Archivist for Electronic Records, University of Illinois
Christopher (Cal) Lee, Professor, University of North Carolina at Chapel Hill
Kate Murray, IT Specialist / Technology Policy Directorate, Library of Congress
Jamie Patrick-Burns, Digital Archivist, State Archives of North Carolina
Justin Simpson, Director / Archivematica Technical Services, Artefactual
Camille Tyndall Watson, Digital Services Manager, State Archives of North Carolina
Yue Wang, Assistant Professor, University of North Carolina at Chapel Hill
Carl Wilson, Technical Lead, Open Preservation Foundation (UK)
Kam Woods, Research Scientist, University of North Carolina at Chapel Hill
And more to come!