Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation-Reference-Cited by-同舟云学术

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Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation

Published:2024 Issue: Volume: Page:50-65
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Yang Eugene^ORCID,Lawrie Dawn^ORCID,Mayfield James^ORCID,Oard Douglas W.^ORCID,Miller Scott^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-56060-6_4

Reference43 articles.

1. Asai, A., Kasai, J., Clark, J., Lee, K., Choi, E., Hajishirzi, H.: XOR QA: cross-lingual open-retrieval question answering. In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 547–564, Association for Computational Linguistics, Online (2021). https://doi.org/10.18653/v1/2021.naacl-main.46

2. Bonifacio, L., et al.: mMARCO: A multilingual version of the MS MARCO passage ranking dataset (2021). arXiv preprint arXiv:2108.13897

3. Chi, Z., et al.: Improving pretrained cross-lingual language models via self-labeled word alignment. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 3418–3430, Association for Computational Linguistics, Online (2021). https://doi.org/10.18653/v1/2021.acl-long.265

4. Conneau, A., et al.: Unsupervised cross-lingual representation learning at scale. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 8440–8451, Association for Computational Linguistics, Online (2020)

5. Costello, C., Yang, E., Lawrie, D., Mayfield, J.: Patapsco: a python framework for cross-language information retrieval experiments. In: Proceedings of the 44th European Conference on Information Retrieval (ECIR) (2022)

Cited by 2 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. Distillation for Multilingual Information Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Report on the 46th European Conference on Information Retrieval (ECIR 2024);ACM SIGIR Forum;2024-06

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