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TREC 2015 Dynamic Domain Track Overview

Author(s)
Ian Soboroff, Hui Yang, John Frank
Search tasks for professional searchers, such as law enforcement agencies, police officers, and patent examiners, are often more complex than open domain Web

Summary Report: CHIPS R&D Program Standards Summit

Author(s)
Mary Bedner, Chris Greer
The mission of the National Institute of Standards and Technology's (NIST) CHIPS Research and Development Office (CHIPS R&D) under the Department of Commerce's

Security Segmentation in a Small Manufacturing Environment

Author(s)
Michael Powell, John Hoyt, Aslam Sherule, Lynette Wilcox
Manufacturers are increasingly targeted in cyber-attacks. Small manufacturers are particularly vulnerable due to limitations in staff and resources to operate

Administering Accessible Vote by Mail Systems

Author(s)
Lynn Baumeister, Whitney Quesenbery, Sharon J. Laskowski
Accessible vote by mail (AVBM) provides options for voters with disabilities to complete their absentee or vote by mail ballots independently and privately

Eliciting Lessons from Small- and Medium-Sized Enterprises (SMEs) for Natural Disaster Resilience Planning and Recovery During the COVID-19 Pandemic: SME Complex Event Resilience

Author(s)
Jennifer F. Helgeson, Juan F. Fung, Yating Zhang, Alfredo R. Roa Henriquez, Ariela Zycherman, Claudia Nierenberg, David T. Butry, Donna H. Ramkissoon
Small and medium-sized enterprises (SMEs) make up 44% of U.S. economic activities and are the lifeline for many local economies, employing 59 million people in

Overview of the TREC 2019 Deep Learning Track

Author(s)
Ellen M. Voorhees, Nick Craswell, Bhaskar Mitra, Daniel Campos, Emine Yilmaz
The Deep Learning Track is a new track for TREC 2019, with the goal of studying ad hoc ranking in a large data regime. It is the first track with large human
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