Semantic Content Modeling
Semantic Content Modeling is a methodological framework within content modeling that formally structures information based on the meaning of content elements and their interrelationships, distinguishing it from syntactic or structural approaches by prioritizing contextual significance and domain-specific interpretation.
233
Publications
23.4K
Citations
726
Authors
302
Institutions
Publications per year
2017–2026
81
Parents
233
SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks
Xun Huang, Chengyao Shen, Xavier Boix et al. · 2015 · 605 citations
Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources
Qi Wu, Peng Wang, Chunhua Shen et al. · 2016 · 368 citations
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302
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
13 publications
14K citations

McGill University
Montreal, Canada
5 h-index
7 publications
167 citations
National University of Singapore
Singapore, Singapore
5 h-index
13 publications
2.6K citations

University of Trento
Trento, Italy
5 h-index
11 publications
216 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
15 publications
539 citations

City University of Hong Kong
Hong Kong, Hong Kong
4 h-index
7 publications
246 citations

University of Rochester
Rochester, United States
4 h-index
13 publications
833 citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
11 publications
334 citations
1–8 of 302
Repository · 15 publications · 1.1K citations
13
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TKDE · 5 publications · 231 citations
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4 publications · 74 citations
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3 publications · 72 citations
3
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3 publications · 60 citations
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