Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers-Reference-Cited by-同舟云学术

Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Arabzadeh Negar¹^ORCID,Hamidi Rad Radin²^ORCID,Khodabakhsh Maryam³^ORCID,Bagheri Ebrahim²^ORCID

Affiliation:

1. University of Waterloo, Waterloo, ON, Canada

2. Toronto Metropolitan University, Toronto, ON, Canada

3. Shahrood University of Technology, Shahrood, Iran

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615270

Reference67 articles.

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3. Shallow pooling for sparse labels

4. Negar Arabzadeh , Xinyi Yan , and Charles L. A . Clarke . 2021 . Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection. CoRR abs/2109.10739 (2021). arXiv:2109.10739 https://arxiv.org/abs/2109.10739 Negar Arabzadeh, Xinyi Yan, and Charles L. A. Clarke. 2021. Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection. CoRR abs/2109.10739 (2021). arXiv:2109.10739 https://arxiv.org/abs/2109.10739

5. Neural embedding-based specificity metrics for pre-retrieval query performance prediction

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