Noise-reduction for automatically transferred relevance judgments

M Fröbe, C Akiki, M Potthast, M Hagen - International Conference of the …, 2022 - Springer
Abstract The TREC Deep Learning tracks used MS MARCO Version 1 as their official
training data until 2020 and switched to Version 2 in 2021. For Version 2, all previously …
被引用次数：4 相关文章

Noise-Reduction for Automatically Transferred Relevance Judgments

M Fröbe, C Akiki, M Potthast, M Hagen - International Conference of the …, 2022 - dl.acm.org
Abstract The TREC Deep Learning tracks used MS MARCO Version 1 as their official
training data until 2020 and switched to Version 2 in 2021. For Version 2, all previously …
[PDF] webis.de

[PDF][PDF] Noise-Reduction for Automatically Transferred Relevance Judgments

M Fröbe, C Akiki, M Potthast, M Hagen - downloads.webis.de
Abstract The TREC Deep Learning tracks used MS MARCO Version 1 as their official
training data until 2020 and switched to Version 2 in 2021. For Version 2, all previously …
[PDF] webis.de

[PDF][PDF] Noise-Reduction for Automatically Transferred Relevance Judgments

M Fröbe, C Akiki, M Potthast, M Hagen - downloads.webis.de
Noise-Reduction for Automatically Transferred Relevance Judgments Page 1 Noise-Reduction
for Automatically Transferred Relevance Judgments Maik Fröbe1 Christopher Akiki2 Martin …