Advancing continual lifelong learning in neural information retrieval: Definition, dataset, framework, and empirical evaluation-Reference-Cited by-同舟云学术

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Advancing continual lifelong learning in neural information retrieval: Definition, dataset, framework, and empirical evaluation

Published:2025-01 Issue: Volume:687 Page:121368
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Hou Jingrui^ORCID,Cosma Georgina^ORCID,Finke Axel^ORCID

Funder

Loughborough University

China Scholarship Council

Publisher

Elsevier BV

Reference46 articles.

1. An Introduction to Information Retrieval;Ceri,2013

2. A deep look into neural ranking models for information retrieval;Guo;Inf. Process. Manag.,2020

3. Dense text retrieval based on pretrained language models: a survey;Zhao;ACM Trans. Inf. Syst.,2024

4. BERT: pre-training of deep bidirectional transformers for language understanding;Devlin,2019

5. Lifelong machine learning: a paradigm for continuous learning;Liu;Front. Comput. Sci.,2017

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