Learning to rank and predict: Multi-task learning for ad hoc retrieval and query performance prediction

Author:

Khodabakhsh Maryam,Bagheri EbrahimORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. From distillation to hard negative sampling: making sparse neural IR models more effective;Formal,2022

2. ColBERT: efficient and effective passage search via contextualized late interaction over BERT;Khattab,2020

3. Document ranking with a pretrained sequence-to-sequence model;Nogueira,2020

4. An anatomy for neural search engines;Nakamura;Inf. Sci.,2019

5. Pretrained transformers for text ranking: BERT and beyond;Lin;Synth. Lect. Hum. Lang. Technol.,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

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