Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation-Reference-Cited by-同舟云学术

Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation

Published:2023-02-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
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Author:

Huang Zhiqi¹^ORCID,Yu Puxuan¹^ORCID,Allan James¹^ORCID

Affiliation:

1. University of Massachusetts Amherst, Amherst, MA, USA

Funder

Intelligence Advanced Research Projects Activity

Office of the Director of National Intelligence

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570468

Reference47 articles.

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2. Simulating CLIR Translation Resource Scarcity using High-resource Languages

3. Training Effective Neural CLIR by Bridging the Translation Gap

4. Luiz Henrique Bonifacio , Israel Campiotti , Vitor Jeronymo , Roberto Lotufo , and Rodrigo Nogueira . 2021. mmarco: A multilingual version of the ms marco passage ranking dataset. arXiv preprint arXiv:2108.13897 ( 2021 ). Luiz Henrique Bonifacio, Israel Campiotti, Vitor Jeronymo, Roberto Lotufo, and Rodrigo Nogueira. 2021. mmarco: A multilingual version of the ms marco passage ranking dataset. arXiv preprint arXiv:2108.13897 (2021).

5. Martin Braschler . 2002 . CLEF 2002-Overview of results. In Workshop of the Cross-Language Evaluation Forum for European Languages. Springer, 9--27 . Martin Braschler. 2002. CLEF 2002-Overview of results. In Workshop of the Cross-Language Evaluation Forum for European Languages. Springer, 9--27.

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