Université Grenoble Alpes/LIG at TREC Deep Learning Track 2022
Résumé
This paper describes the submissions of the MRIM research Group/Laboratoire d’Informatique de Grenoble from the Université Grenoble Alpes at the TREC Deep Learning Track 2022. We participated in both fullranking and reranking sub-tasks in the passages ranking task. We proposed several ways to combine neural and non-neural runs using reciprocal-rank based fusion.
Domaines
Recherche d'information [cs.IR]| Origine | Fichiers produits par l'(les) auteur(s) |
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Domaine public
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