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Ranking has always been one of the top concerns in information retrieval research.
Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval
Stephen E Robertson and Steve Walker · 1994
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
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Noise-contrastive estimation: a new estimation principle for unnormalized statistical models
Michael Gutmann and Aapo Hyvärinen · 2010
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From ranknet to lambdarank to lambdamart: An overview
Christopher JC Burges · 2010
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Product quantization for nearest neighbor search
Herve Jegou, Matthijs Douze, and Cordelia Schmid · 2010
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Maximum inner-product search using cone trees
Parikshit Ram and Alexander G Gray · 2012
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Learning deep structured semantic models for web search using clickthrough data
Po-Sen Huang, X. He, Jianfeng Gao, L. Deng, A. Acero, and Larry Heck · 2013
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Convolutional neural network architectures for matching natural language sentences
Baotian Hu, Zhengdong Lu, Hang Li, and Qingcai Chen · 2014
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Learning binary codes for maximum inner product search
Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, and Heng Tao Shen · 2015
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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, et al · 2016
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A deep architecture for semantic matching with multiple positional sentence representations
Shengxian Wan, Yanyan Lan, J. Guo, Jun Xu, Liang Pang, and X. Cheng · 2016
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Anserini: Reproducible ranking baselines using lucene
Peilin Yang, Hui Fang, and Jimmy Lin · 2018
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Rodrigo Nogueira and Kyunghyun Cho · 2019
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Multi-stage document ranking with bert
Rodrigo Nogueira, Wei Yang, Kyunghyun Cho, and Jimmy Lin · 2019
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Idst at trec 2019 deep learning track: Deep cascade ranking with generation-based document expansion and pre-trained language modeling
Ming Yan, Chenliang Li, Chen Wu, Bin Bi, Wei Wang, Jiangnan Xia, and Luo Si · 2019
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Deeper text understanding for ir with contextual neural language modeling
Zhuyun Dai and Jamie Callan · 2019
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Document expansion by query prediction
Rodrigo Nogueira, Wei Yang, Jimmy Lin, and Kyunghyun Cho · 2019
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Latent retrieval for weakly supervised open domain question answering
Kenton Lee, Ming-Wei Chang, and Kristina Toutanova · 2019
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From doc2query to doctttttquery
Rodrigo Nogueira, Jimmy Lin, and AI Epistemic · 2019
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Learning-to-rank with bert in tf-ranking
Shuguang Han, Xuanhui Wang, Mike Bendersky, and Marc Najork · 2020
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Repbert: Contextualized text embeddings for first-stage retrieval
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, and Shaoping Ma · 2020
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Sparse, dense, and attentional representations for text retrieval
Yi Luan, Jacob Eisenstein, Kristina Toutanove, and Michael Collins · 2020
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Pre-training tasks for embedding-based large-scale retrieval
Wei-Cheng Chang, Felix X Yu, Yin-Wen Chang, Yiming Yang, and Sanjiv Kumar · 2020
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Complementing lexical retrieval with semantic residual embedding
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Context-aware sentence/passage term importance estimation for first stage retrieval
Zhuyun Dai and Jamie Callan · 2019
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Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou · 2019
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A deep look into neural ranking models for information retrieval
Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W Bruce Croft, and Xueqi Cheng · 2019
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RoBERTa: a robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Transformer-XL: attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le, and Ruslan Salakhutdinov · 2019
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Large batch optimization for deep learning: Training bert in 76 minutes
Yang You, Jing Li, Sashank Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, and Cho-Jui Hsieh · 2019
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Luyu Gao, Zhuyun Dai, Zhen Fan, and Jamie Callan · 2020
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih · 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
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Embedding-based retrieval in facebook search
Jui-Ting Huang, Ashish Sharma, Shuying Sun, Li Xia, David Zhang, Philip Pronin, Janani Padmanabhan, Giuseppe Ottaviano, and Linjun Yang · 2020
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Colbert: Efficient and effective passage search via contextualized late interaction over bert
O. Khattab and M. Zaharia · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Dc-bert: Decoupling question and document for efficient contextual encoding
Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, and Daxin Jiang · 2020
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Efficient document re-ranking for transformers by precomputing term representations
S. MacAvaney, F. Nardini, R. Perego, N. Tonellotto, N. Goharian, and O. Frieder · 2020
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Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan · 2020
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Context-aware document term weighting for ad-hoc search
Zhuyun Dai and J. Callan · 2020
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