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Recent developments in representational learning for information retrieval can be organized in a conceptual framework that establishes two pairs of contrasts: sparse vs.
Context-aware sentence/passage term importance estimation for first stage retrieval
Zhuyun Dai and Jamie Callan. 2019 · 1910
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The vocabulary problem in human-system communication
George W. Furnas, Thomas K. Landauer, Louis M. Gomez, and Susan T. Dumais. 1987 · 1987
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Indexing by latent semantic analysis
Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, and Richard Harshman. 1990 · 1990
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Vector-space ranking with effective early termination
Vo Ngoc Anh, Owen de Kretser, and Alistair Moffat. 2001 · 2001
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Global term weights for document retrieval learned from TREC data
W. John Wilbur. 2001 · 2001
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LDA-based document models for ad-hoc retrieval
Xing Wei and W. Bruce Croft. 2006 · 2006
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Latent semantic indexing (LSI) fails for TREC collections
Avinash Atreya and Charles Elkan. 2010 · 2010
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Improving efficient neural ranking models with cross-architecture knowledge distillation
Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, and Allan Hanbury. 2020 · 2010
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Pretrained transformers for text ranking: BERT and beyond
Jimmy Lin, Rodrigo Nogueira, and Andrew Yates. 2020 · 2010
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Anserini: enabling the use of Lucene for information retrieval research
Peilin Yang, Hui Fang, and Jimmy Lin. 2017 · 2017
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MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, and Tong Wang. 2018 · 2018
Cited alongside, same era.
Anserini: reproducible ranking baselines using Lucene
Peilin Yang, Hui Fang, and Jimmy Lin. 2018 · 2018
Cited alongside, same era.
From doc2query to docTTTTTquery
Rodrigo Nogueira and Jimmy Lin. 2019 · 2019
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Complementing lexical retrieval with semantic residual embedding
Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme, and Jamie Callan. 2021b · 2021
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Efficiently teaching an effective dense retriever with balanced topic aware sampling
Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, and Allan Hanbury. 2021 · 2021
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In-batch negatives for knowledge distillation with tightly-coupled teachers for dense retrieval
Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. 2021 · 2021
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A replication study of dense passage retriever
Xueguang Ma, Kai Sun, Ronak Pradeep, and Jimmy Lin. 2021 · 2021
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Learning passage impacts for inverted indexes
Antonio Mallia, Omar Khattab, Torsten Suel, and Nicola Tonellotto. 2021 · 2021
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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
Cited alongside, same era.
ColBERT: Efficient and effective passage search via contextualized late interaction over BERT
Omar Khattab and Matei Zaharia. 2020 · 2020
Cited alongside, same era.
COIL: Revisit exact lexical match in information retrieval with contextualized inverted list
Luyu Gao, Zhuyun Dai, and Jamie Callan. 2021a · 2021
Cited alongside, same era.
RocketQA: An optimized training approach to dense passage retrieval for open-domain question answering
Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, and Haifeng Wang. 2021 · 2021
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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 N. Bennett, Junaid Ahmed, and Arnold Overwijk. 2021 · 2021
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Efficient passage retrieval with hashing for open-domain question answering
Ikuya Yamada, Akari Asai, and Hannaneh Hajishirzi. 2021 · 2021
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