Concept-based Document Representation
Concept-Based Document Representation is a document representation approach that characterizes documents based on high-level semantic concepts rather than lexical or syntactic features, capturing the underlying conceptual meaning relevant to the document's content and purpose.
47
Publications
2K
Citations
135
Authors
53
Institutions
Publications per year
2017–2026
7
Parents
47
Bart Meyns, Stefan Klotz, André Simon et al. · Journal of the American College of Cardiology · 2009 · 352 citations
Clustering Documents with Active Learning Using Wikipedia
Anna Y.Q. Huang, David Milne, Eibe Frank et al. · 2008 · 110 citations · Full text
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University of North Carolina at Chapel Hill, United States
2 publications · 27 citations
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Germany
2 publications · 132 citations
2
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1–5 of 135
53
Brown University
Providence, United States
2 h-index
4 publications
264 citations

National University of Defense Technology
Changsha, China
2 h-index
9 publications
153 citations
National University of Singapore
Singapore, Singapore
2 h-index
7 publications
316 citations

University of Waterloo
Waterloo, Canada
2 h-index
6 publications
129 citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
2 h-index
4 publications
168 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
8 publications
257 citations

The Open University
Milton Keynes, United Kingdom
2 h-index
4 publications
240 citations

École de Technologie Supérieure
Montreal, Canada
1 h-index
2 publications
38 citations
1–8 of 53
2 publications · 106 citations
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2 publications · 65 citations
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2 publications · 43 citations
2
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AIEDAM · 1 publications · 117 citations
1
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1 publications · 27 citations
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