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On 6-7 March 2024, NIST conducted the Named Data Networking (NDN) Community Meeting 2024 as a hybrid event, held at NIST’s National Cybersecurity Center of
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
The FAIR Data Principles define a set of aspirational guidelines for those whose goal is to improve the reusability of their data. However, the FAIR Data Principles do not define an explicit set of requirements to achieve FAIRness, which may vary within and across domains. Various projects have
Mission TAC's mission is to support research within the Natural Language Processing community by providing the infrastructure necessary for large-scale evaluation of NLP methodologies. TAC's primary purpose is not competitive benchmarking; the emphasis is on advancing the state of the art through
Its purpose was to support research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of text retrieval methodologies. In particular, the TREC workshop series has the following goals: to encourage research in information retrieval based
The goal of the project is to support the development of automatic systems that can provide content-based access to information that has not been explicitly structured for machine consumption. This support is in the form of evaluation infrastructure, since to quote Lord Kelvin, "If you can not
Leif Azzopardi, Charles Clarke, Paul Kantor, Bhaskar Mitra, Johanne Trippas, Zhaochun Ren, Ian Soboroff
The First Search Futures Workshop, in conjunction with the Fourty-sixth European Conference on Information Retrieval (ECIR) 2024, looked into the future of
This report summarizes the results of the workshop entitled "Empowering Small and Medium Size Enterprises Through Effective Additive Manufacturing Data
James Mayfield, Eugene Yang, Dawn Lawrie, Sean MacAvaney, Paul McNamee, Douglas Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Kayi, Kate Sanders, Marc Mason, Noah Hibbler
Large Language Models (LLMs) have enabled new ways to satisfy information needs. Although great strides have been made in applying them to settings like