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Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022
February 24, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Carlos Lassance, StΓ©phane Clinchant
arXiv ID
2302.12574
Category
cs.IR: Information Retrieval
Citations
9
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This paper describes our participation to the 2022 TREC Deep Learning challenge. We submitted runs to all four tasks, with a focus on the full retrieval passage task. The strategy is almost the same as 2021, with first stage retrieval being based around SPLADE, with some added ensembling with ColBERTv2 and DocT5. We also use the same strategy of last year for the second stage, with an ensemble of re-rankers trained using hard negatives selected by SPLADE. Initial result analysis show that the strategy is still strong, but is still unclear to us what next steps should we take.
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