Economic impact assessment of NIST's text REtrieval conference (TREC) program. Final report

By Brent R. Rowe, Dallas Wood, Albert N. Link, Diglio A. Simoni. 2010

30 citations recorded by the source corpus.

Subfields: Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Jimmy J. Lin
2. Rodrigo Nogueira
3. Andrew Yates
4. Zeynep Akkalyoncu Yilmaz
5. Wei Yang
6. Sheng-Chieh Lin
7. Jheng-Hong Yang
8. Haotian Zhang

Citations in the corpus

• Pretrained Transformers for Text Ranking: BERT and Beyond (2020, methodology): “TREC, as a specific realization of the Cranfield paradigm, has been incredibly influential, both on IR research and more broadly in the commercial sphere; for example, see an assessment of the economic impact of TREC conducted in 2010 [Rowe et al., 2010].”