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GAITHERSBURG, Md. — Today, the U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) and the White House Office of Science 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
With increasing use of data-driven methodologies, concerns around data discovery, data access, and data interoperability have come to the forefront. Communities
This project uses community evaluations to build the infrastructure required to evaluate system effectiveness on information access tasks. In particular, the
There has been a growing recognition of the importance of community-wide evaluations for research in information technologies. The Text Analysis Conference is a
Xinyi Yan, Chengxi Luo, Charles Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells
The dramatic improvements in core information retrieval tasks engendered by neural rankers create a need for novel evaluation methods. If every ranker returns
This paper presents the lessons regarding the construction and use of large Cranfield-style test collections learned from the TREC 2021 Deep Learning track. The
George Awad, Asad Butt, Keith Curtis, Jonathan G. Fiscus, Afzal A. Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Yvette Graham, Gareth Jones, Georges Quenot
TREC 2021 is the thirtieth edition of the Text REtrieval Conference (TREC). The main goal of TREC is to create the evaluation infrastructure required for large