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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
Jacob Collard, Valeria de Paiva, Brendan Fong, Eswaran Subrahmanian
We investigate some different systems for extracting mathematical entities from texts in the mathematical field of category theory, as a first step for
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