Optimizing Guided Traversal for Fast Learned Sparse Retrieval-Reference-Cited by-同舟云学术

Optimizing Guided Traversal for Fast Learned Sparse Retrieval

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2023
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Author:

Qiao Yifan¹^ORCID,Yang Yingrui¹^ORCID,Lin Haixin¹^ORCID,Yang Tao²^ORCID

Affiliation:

1. Department of Computer Science, University of California, Santa Barbara, USA

2. Department of Computer Science, University of California at Santa Barbara, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583497

Reference43 articles.

1. Yang Bai , Xiaoguang Li , Gang Wang , Chao liang Zhang , Lifeng Shang, Jun Xu, Zhaowei Wang, Fangshan Wang, and Qun Liu. 2020 . SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval. ArXiv abs/2010.00768 (2020). Yang Bai, Xiaoguang Li, Gang Wang, Chao liang Zhang, Lifeng Shang, Jun Xu, Zhaowei Wang, Fangshan Wang, and Qun Liu. 2020. SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval. ArXiv abs/2010.00768 (2020).

2. Efficient query evaluation using a two-level retrieval process

3. Daniel Fernando Campos , Tri Nguyen , Mir Rosenberg , Xia Song , Jianfeng Gao , Saurabh Tiwary , Rangan Majumder , Li Deng , and Bhaskar Mitra . 2016 . MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. ArXiv abs/1611.09268 (2016). Daniel Fernando Campos, Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng, and Bhaskar Mitra. 2016. MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. ArXiv abs/1611.09268 (2016).

4. Interval-based pruning for top-k processing over compressed lists

5. David R. Cheriton. 2019. From doc2query to docTTTTTquery. David R. Cheriton. 2019. From doc2query to docTTTTTquery.

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