Similarity Inference
Similarity Inference is a computational method that identifies and quantifies the degree of overlap or correspondence between textual, structural, or semantic elements of two or more academic artifacts to determine whether such resemblance constitutes evidence of potential intellectual dependence or originality.
85
Publications
5.6K
Citations
246
Authors
134
Institutions
Publications per year
2017–2026
28
Parents
85
Discovery of inference rules for question-answering
Dekang Lin, Patrick Pantel · Natural Language Engineering · 2001 · 532 citations
Traffic prediction in a bike-sharing system
Yexin Li, Yu Zheng, Huichu Zhang et al. · 2015 · 341 citations
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134
Tsinghua University
Beijing, China
3 h-index
11 publications
281 citations

Harvard University Press
Cambridge, United States
3 h-index
3 publications
88 citations
Microsoft (United States)
Redmond, United States
3 h-index
3 publications
294 citations
Ecogenomics (Japan)
Fukuoka, Japan
2 h-index
2 publications
77 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
2 publications
312 citations
Stanford University
Stanford, United States
2 h-index
3 publications
379 citations
University of Maryland, College Park
College Park, United States
2 h-index
4 publications
397 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
158 citations
1–8 of 134
Repository · 3 publications · 168 citations
3
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2 publications · 239 citations
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2 publications · 874 citations
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2 publications · 100 citations
2
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2 publications · 42 citations
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