Cross-language Ranking
Cross-Language Ranking is a retrieval methodology that distinguishes itself by enabling the scoring and ordering of documents in one language according to their relevance to a query expressed in another language, thereby bridging linguistic disparity in multilingual information access.
34
Publications
1.1K
Citations
130
Authors
51
Institutions
Publications per year
2017–2026
14
34
Cross-lingual multi-keyword rank search with semantic extension over encrypted data
Zhitao Guan, Xueyan Liu, Longfei Wu et al. · Information Sciences · 2019 · 76 citations
Cross-Lingual Learning-to-Rank with Shared Representations
Shota Sasaki, Shuo Sun, Shigehiko Schamoni et al. · 2018 · 63 citations · Full text
Overview of the NTCIR-9 INTENT Task
Ruihua Song, Min Zhang, Tetsuya Sakai et al. · 2011 · 63 citations
1–5 of 34
130
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Poznań University of Economics and Business, Poland
2 publications · 40 citations
2
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2
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2
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1–5 of 130
51

Johns Hopkins University
Baltimore, United States
2 h-index
5 publications
210 citations
Heidelberg University
Heidelberg, Germany
2 h-index
5 publications
119 citations
Qatar Airways (Qatar)
Doha, Qatar
2 h-index
9 publications
311 citations

Poznań University of Economics and Business
Poznan, Poland
2 h-index
6 publications
120 citations
Swinburne University of Technology
Melbourne, Australia
1 h-index
1 publications
24 citations
Yale University
New Haven, United States
1 h-index
8 publications
320 citations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Pisa, Italy
1 h-index
1 publications
112 citations
IBM Research (China)
Beijing, China
1 h-index
1 publications
36 citations
1–8 of 51
2 publications · 48 citations
2
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2 publications · 92 citations
2
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1 publications · 27 citations
1
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1 publications · 18 citations
1
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Repository · 1 publications · 15 citations
1
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1–5