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NIST will hold a virtual workshop on Technical Language Processing on 24-25 September 2024. Online registration is $33.00 USD and is available via the workshop
NIST helped to foster awareness, debate, and education at the Technical Language Processing (TLP) Tutorial of the 15 th Annual Conference of the Prognostics and
New resources developed by a multidisciplinary team of experts in natural language processing and data curation and discovery allow researchers to get the most
Whether at the level of the individual, team, project or program, research and engineering work must keep abreast of huge amounts of published information that might contain discoveries or needed elements for discoveries crucial to its success. We, in collaboration with Software and Systems Division
Juan Fung, Zongxia Li, Daniel Stephens, Andrew Mao, Pranav Goel, Emily Walpole, Alden A. Dima, Jordan Boyd-Graber
In this report, we address the following question: to what extent can machine learning assist a human with traditional text analysis, such as content analysis
Zongxia Li, Andrew Mao, Jordan Boyd-Graber, Daniel Stephens, Emily Walpole, Alden A. Dima, Juan Fung
Topic models are a popular tool for understanding text collections, but their evaluation has been a point of contention. Automated evaluation metrics such as
Marc-Alexander Lutz, Bastian Schäfermeier, Rachael Sexton, Michael Sharp, Alden A. Dima, Stefan Faulstich, Jagan Mohini Aluri
Maintenance work orders are commonly used to document information about wind turbine operation and maintenance. This includes details about proactive and
Detecting out of policy speech (OOPS) content is important but difficult. While machine learning is a powerful tool to tackle this challenging task, it is hard
The Nestor Graphical User Interface (GUI) is a free toolkit that helps maintainers annotate their Maintenance Work Order (MWO) data through a process called