An Updated Duet Model for Passage Re-ranking
Bhaskar Mitra, Nick Craswell
TL;DR
This paper presents an improved version of the Duet neural ranking model for passage re-ranking, demonstrating significant performance gains on the MS MARCO dataset through targeted modifications.
Contribution
The authors introduce small modifications to the Duet model and empirically evaluate their impact, resulting in an enhanced passage re-ranking model.
Findings
Significant performance improvements on MS MARCO passage ranking.
Ablation study confirms effectiveness of proposed modifications.
Enhanced model outperforms previous versions.
Abstract
We propose several small modifications to Duet---a deep neural ranking model---and evaluate the updated model on the MS MARCO passage ranking task. We report significant improvements from the proposed changes based on an ablation study.
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Taxonomy
TopicsTopic Modeling · Natural Language Processing Techniques · Algorithms and Data Compression