Cross-language Topic Detection
Cross-Language Topic Detection is a computational task in cross-language information retrieval that identifies and extracts semantically equivalent topics across documents written in different languages by leveraging cross-lingual semantic representations and alignment techniques.
29
Publications
1.2K
Citations
97
Authors
41
Institutions
Publications per year
2017–2026
8
29
David Mimno, Hanna Wallach, Jason Naradowsky et al. · 2009 · 338 citations · Full text
Multilingual and cross-lingual news topic tracking
Bruno Pouliquen, Ralf Steinberger, Camelia Ignat et al. · 2004 · 61 citations · Full text
Language-specific models in multilingual topic tracking
Leah S. Larkey, Fangfang Feng, Margaret E. Connell et al. · 2004 · 53 citations
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41
University of Maryland, College Park
College Park, United States
3 h-index
5 publications
336 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
9 publications
1.9K citations
University of Zurich
Zurich, Switzerland
2 h-index
3 publications
63 citations
KU Leuven
Leuven, Belgium
2 h-index
5 publications
127 citations
Library of Congress
Washington D.C., United States
1 h-index
1 publications
23 citations
University of Tsukuba
Tsukuba, Japan
1 h-index
4 publications
44 citations
University of Sheffield
Sheffield, United Kingdom
1 h-index
1 publications
12 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
3 publications
51 citations
1–8 of 41
CMM · 1 publications · 33 citations
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Repository · 1 publications · 35 citations
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TKDD · 1 publications · 41 citations
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TACL · 1 publications · 40 citations
1
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Conference · 1 publications · 12 citations
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