Lexically-Accelerated Dense Retrieval

Author:

Kulkarni Hrishikesh1ORCID,MacAvaney Sean2ORCID,Goharian Nazli1ORCID,Frieder Ophir1ORCID

Affiliation:

1. Georgetown University, Washington, DC, USA

2. University of Glasgow, Glasgow, United Kingdom

Publisher

ACM

Reference52 articles.

1. Negar Arabzadeh , Xinyi Yan , and Charles L. A. Clarke . 2021. Predicting Efficiency/Effectiveness Trade-Offs for Dense vs. Sparse Retrieval Strategy Selection . In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (Virtual Event , Queensland, Australia) (CIKM '21). Association for Computing Machinery, New York, NY, USA, 2862--2866. https://doi.org/10.1145/3459637.3482159 10.1145/3459637.3482159 Negar Arabzadeh, Xinyi Yan, and Charles L. A. Clarke. 2021. Predicting Efficiency/Effectiveness Trade-Offs for Dense vs. Sparse Retrieval Strategy Selection. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (Virtual Event, Queensland, Australia) (CIKM '21). Association for Computing Machinery, New York, NY, USA, 2862--2866. https://doi.org/10.1145/3459637.3482159

2. Arian Askari and Suzan Verberne. 2021. Combining Lexical and Neural Retrieval with Longformer-based Summarization for Effective Case Law Retrieval. In DESIRES. Arian Askari and Suzan Verberne. 2021. Combining Lexical and Neural Retrieval with Longformer-based Summarization for Effective Case Law Retrieval. In DESIRES.

3. Nick Craswell , Bhaskar Mitra , Emine Yilmaz , and Daniel Campos . 2021 . Overview of the TREC 2020 deep learning track. https://doi.org/10 .48550/ARXIV.2102.07662 10.48550/ARXIV.2102.07662 Nick Craswell, Bhaskar Mitra, Emine Yilmaz, and Daniel Campos. 2021. Overview of the TREC 2020 deep learning track. https://doi.org/10.48550/ARXIV.2102.07662

4. Nick Craswell , Bhaskar Mitra , Emine Yilmaz , Daniel Campos , and Ellen M. Voorhees . 2020 . Overview of the TREC 2019 deep learning track. https://doi.org/10 .48550/ARXIV. 2003 .07820 10.48550/ARXIV.2003.07820 Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Ellen M. Voorhees. 2020. Overview of the TREC 2019 deep learning track. https://doi.org/10.48550/ARXIV.2003.07820

5. Context-Aware Term Weighting For First Stage Passage Retrieval

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1. A Reproducibility Study of PLAID;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Cluster-based Partial Dense Retrieval Fused with Sparse Text Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy;Proceedings of the ACM Web Conference 2024;2024-05-13

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