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Over the last few years, contextualized pre-trained transformer models such as BERT have provided substantial improvements on information retrieval tasks.
How to Fine-Tune BERT for Text Classification?
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 1908
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A probabilistic model of information retrieval: development and comparative experiments: Part 2
K Sparck Jones, Steve Walker, and Stephen E. Robertson. 2000 · 2000
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Document language models, query models, and risk minimization for information retrieval. In Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
John Lafferty and Chengxiang Zhai. 2001 · 2001
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Efficient query evaluation using a two-level retrieval process. In Proceedings of the twelfth international conference on Information and knowledge management
Andrei Z Broder, David Carmel, Michael Herscovici, Aya Soffer, and Jason Zien. 2003 · 2003
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Introduction to information retrieval
Hinrich Schütze, Christopher D Manning, and Prabhakar Raghavan. 2008 · 2008
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MS MARCO: A human generated machine reading comprehension dataset. In CoCo@ NIPS
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 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
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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On the effect of low-frequency terms on neural-IR models. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, and Allan Hanbury. 2019 · 2019
Cited alongside, same era.
Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
Cited alongside, same era.
Rodrigo Nogueira and Kyunghyun Cho. 2019 · 2019
Cited alongside, same era.
Multi-stage document ranking with bert
Rodrigo Nogueira, Wei Yang, Kyunghyun Cho, and Jimmy Lin. 2019 · 2019
Cited alongside, same era.
Understanding the Behaviors of BERT in Ranking
Yifan Qiao, Chenyan Xiong, Zhenghao Liu, and Zhiyuan Liu. 2019 · 2019
Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
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Colbert: Efficient and effective passage search via contextualized late interaction over bert. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Omar Khattab and Matei Zaharia. 2020 · 2020
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Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, and Marc Najork. 2020 · 2020
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Distilling Dense Representations for Ranking using Tightly-Coupled Teachers
Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. 2020 · 2020
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Cited alongside, same era.
Yingqi Qu Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Xin Zhao, Daxiang Dong, Hua Wu, and Haifeng Wang. 2020 · 2020
Cited alongside, same era.
Complementing lexical retrieval with semantic residual embedding
Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme, and Jamie Callan. 2020 · 2020
Cited alongside, same era.
Learning-to-rank with bert in tf-ranking
Shuguang Han, Xuanhui Wang, Mike Bendersky, and Marc Najork. 2020 · 2020
Cited alongside, same era.
Interpretable & time-budget-constrained contextualization for re-ranking
Sebastian Hofstätter, Markus Zlabinger, and Allan Hanbury. 2020b · 2020
Cited alongside, same era.
Yi Luan, Jacob Eisenstein, Kristina Toutanova, and Michael Collins. 2020 · 2020
Later among the works it cites.
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
Later among the works it cites.
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, and Shaoping Ma. 2020 · 2020
Later among the works it cites.
Local self-attention over long text for efficient document retrieval. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, and Allan Hanbury. 2020a · 2024
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