An Updated Duet Model for Passage Re-ranking
This work addresses passage re-ranking for information retrieval systems, but it is incremental as it builds upon an existing model with minor changes.
The authors tackled the problem of passage re-ranking by proposing small modifications to the Duet deep neural ranking model, resulting in significant improvements as reported through an ablation study on the MS MARCO passage ranking task.
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.