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Neural information retrieval systems typically use a cascading pipeline, in which a first-stage model retrieves a candidate set of documents and one or more subsequent stages re-rank this set using contextualized language models such as BERT.
Rodrigo Nogueira and Kyunghyun Cho. 2019 · 1901
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Context-aware document term weighting for ad-hoc search. In
Zhuyun Dai and Jamie Callan. 2020 · 1907
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Query evaluation: strategies and optimizations
Howard Turtle and James Flood. 1995 · 1995
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Modeling and solving term mismatch for full-text retrieval
Le Zhao. 2012 · 2012
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Ms Marco: A human-generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
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Anserini: Enabling the use of Lucene for information retrieval research. In
Peilin Yang, Hui Fang, and Jimmy Lin. 2017 · 2017
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Context-aware sentence/passage term importance estimation for first stage retrieval
Zhuyun Dai and Jamie Callan. 2019 · 2019
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Let’s measure run time! Extending the IR replicability infrastructure to include performance aspects. In
Sebastian Hofstätter and Allan Hanbury. 2019 · 2019
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CEDR: Contextualized Embeddings for Document Ranking. In
Sean MacAvaney, Andrew Yates, Arman Cohan, and Nazli Goharian. 2019 · 2019
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PISA: performant indexes and search for academia
Antonio Mallia, Michal Siedlaczek, Joel Mackenzie, and Torsten Suel. 2019 · 2019
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From doc2query to docTTTTTquery
Rodrigo Nogueira and Jimmy Lin. 2019 · 2019
Cited alongside, same era.
Multi-stage document ranking with BERT
Rodrigo Nogueira, Wei Yang, Kyunghyun Cho, and Jimmy Lin. 2019a · 2019
Cited alongside, same era.
ColBERT: Efficient and effective passage search via contextualized late interaction over BERT. In
Omar Khattab and Matei Zaharia. 2020 · 2020
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Supporting interoperability between open-source search engines with the common index file format. In
Jimmy Lin, Joel Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michał Siedlaczek, Andrew Trotman, and Arjen de Vries. 2020 · 2020
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OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline. In
Sean MacAvaney. 2020 · 2020
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Efficiency Implications of Term Weighting for Passage Retrieval. In
J. Mackenzie, Z. Dai, L. Gallagher, and J. Callan. 2020 · 2020
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Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, and Arnold Overwijk. 2020 · 2020
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Rodrigo Nogueira, Wei Yang, Jimmy Lin, and Kyunghyun Cho. 2019b · 2019
Cited alongside, same era.
SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval
Yang Bai, Xiaoguang Li, Gang Wang, Chaoliang Zhang, Lifeng Shang, Jun Xu, Zhaowei Wang, Fangshan Wang, and Qun Liu. 2020 · 2020
Cited alongside, same era.
Overview of the trec 2019 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Ellen M Voorhees. 2020 · 2020
Cited alongside, same era.
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. In
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, and Ophir Frieder. 2020a
Cited in the paper.
Expansion via Prediction of Importance with Contextualization. In
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, and Ophir Frieder. 2020b
Cited in the paper.
Overview of the TREC 2020 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, and Daniel Campos. 2021 · 2021
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Local self-attention over long text for efficient document retrieval. In
Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, and Allan Hanbury. 2020 · 2024
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