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Lexical and semantic matching capture different successful approaches to text retrieval and the fusion of their results has proven to be more effective and robust than either alone.
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SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval
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Pre-training Tasks for Embedding-based Large-scale Retrieval. In Proc. ICLR
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Context-Aware Term Weighting For First Stage Passage Retrieval. In Proc. SIGIR . 1533–1536
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Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring. In Proc. ICLR
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Dense Passage Retrieval for Open-Domain Question Answering. In Proc. EMNLP . 6769–6781
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Large Dual Encoders Are Generalizable Retrievers
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RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. In Proc. EMNLP . 2825–2835
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Cited alongside, same era.
Minimizing FLOPs to Learn Efficient Sparse Representations. In Proc. ICLR
Biswajit Paria, Chih-Kuan Yeh, Ian E.H. Yen, Ning Xu, Pradeep Ravikumar, and Barnabás Póczos. 2020 · 2020
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Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
Xilun Chen, Kushal Lakhotia, Barlas Oğuz, Anchit Gupta, Patrick Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, and Wen-tau Yih. 2021 · 2021
Cited alongside, same era.
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
Thibault Formal, Carlos Lassance, Benjamin Piwowarski, and Stéphane Clinchant. 2021a · 2021
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Condenser: a Pre-training Architecture for Dense Retrieval. In Proc. EMNLP . 981–993
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Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. In Proc. SIGIR . 113–122
Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, and Allan Hanbury. 2021 · 2021
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Towards Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, and Edouard Grave. 2021 · 2021
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Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval. In Proc. EMNLP . 1016–1029
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Cited alongside, same era.
Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, QiaoQiao She, Hua Wu, Haifeng Wang, and Ji-Rong Wen. 2021 · 2021
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ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
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Simple Entity-Centric Questions Challenge Dense Retrievers. In Proc. EMNLP . 6138–6148
Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, and Danqi Chen. 2021 · 2021
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BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models. In Proc. NIPS
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, and Iryna Gurevych. 2021 · 2021
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GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval
Kexin Wang, Nandan Thakur, Nils Reimers, and Iryna Gurevych. 2021 · 2021
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Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. In Proc. ICLR
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. In Proc, ACL . 979–986
Ikuya Yamada, Akari Asai, and Hannaneh Hajishirzi. 2021 · 2021
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Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion
Shengyao Zhuang and Guido Zuccon. 2021a · 2021
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Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval
Luyu Gao, Xueguang Ma, Jimmy Lin, and Jamie Callan. 2022 · 2022
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Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, and Allan Hanbury. 2022 · 2022
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PLAID: An Efficient Engine for Late Interaction Retrieval
Keshav Santhanam, Omar Khattab, Christopher Potts, and Matei Zaharia. 2022 · 2022
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Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. In Proc. WSDM . 1328–1336
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, and Shaoping Ma. 2022 · 2022
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