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News and Updates

Projects and Programs

Text Analysis Conference

Ongoing
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

Text REtrieval Conference (TREC)

Ongoing
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

Content-Based Access to Unstructured Information

Ongoing
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

Publications

Report on The Search Futures Workshop at ECIR 2024

Author(s)
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

On the Evaluation of Machine-Generated Reports

Author(s)
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

Awards