CGIR: a Model of Cross Language Information Retrieval based on Concept Graph by Fusing Attention Mechanism-Reference-Cited by-同舟云学术

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CGIR: a Model of Cross Language Information Retrieval based on Concept Graph by Fusing Attention Mechanism

Published:2023-08-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 6th International Conference on Information Science and Systems
language:
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Author:

Liu Gang¹^ORCID,Jiang Wenhua²^ORCID,Hu Yulin¹^ORCID,Zhan Kai³^ORCID,Wang Tongli¹^ORCID

Affiliation:

1. College of Computer Science and Technology, Harbin Engineering University, China

2. College of Computer Science and Technology,College of Computer Science and Technology,Harbin,Heilongjiang,China, Harbin Engineering University, China

3. PwC Enterprise Digital, PricewaterhousesCoopers, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625156.3625157

Reference23 articles.

1. Power Efficient Message Retrieval Architecture on Data-Centric Environment over the Internet of Things

2. Using elastic net restricted kernel canonical correlation analysis for cross-language information retrieval

3. Construction of Chinese-English Cross-language Information Retrieval Model Based on Dictionary Learning

5. A Distributed N-Gram Indexing System to Optimizing Persian Information Retrieval

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