An Updated Duet Model for Passage Re-ranking

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.

References in corpus (4)

• Character-Aware Neural Language Models
• Exploring the Limits of Language Modeling
• End-to-End Neural Ad-hoc Ranking with Kernel Pooling
• Passage Re-ranking with BERT

Cited by in corpus (16)

• Document Expansion by Query Prediction
• ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
• Information Retrieval: Recent Advances and Beyond
• Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval
• Pretrained Transformers for Text Ranking: BERT and Beyond
• Overview of the TREC 2019 deep learning track
• Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
• Conformer-Kernel with Query Term Independence for Document Retrieval
• Overview of the TREC 2022 deep learning track
• A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints
• Let's measure run time! Extending the IR replicability infrastructure to include performance aspects
• Large Scale Question Answering using Tourism Data
• Duet at TREC 2019 Deep Learning Track
• Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track
• TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
• Learning Representations and Agents for Information Retrieval