Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval-Reference-Cited by-同舟云学术

Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval

Published:2023-07-18 Issue: Volume: Page:
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Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Zhuang Shengyao¹^ORCID,Shou Linjun²^ORCID,Zuccon Guido¹^ORCID

Affiliation:

1. The University of Queensland, Brisbane, Australia

2. Microsoft, Beijing, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591952

Reference48 articles.

1. Akari Asai , Jungo Kasai , Jonathan H. Clark , Kenton Lee , Eunsol Choi , and Hannaneh Hajishirzi . 2021 a. XOR QA: Cross-lingual Open-Retrieval Question Answering. In NAACL-HLT. Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, and Hannaneh Hajishirzi. 2021a. XOR QA: Cross-lingual Open-Retrieval Question Answering. In NAACL-HLT.

2. One question answering model for many languages with cross-lingual dense passage retrieval;Asai Akari;Advances in Neural Information Processing Systems,2021

3. Learning to Enrich Query Representation with Pseudo-Relevance Feedback for Cross-lingual Retrieval

4. InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

5. Unsupervised Cross-lingual Representation Learning at Scale

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