Semantic Duplicate Detection
Semantic Duplicate Detection is a methodological framework within duplicate detection that identifies instances of content reuse characterized by equivalent meaning despite lexical or syntactic variation.
38
Publications
1.2K
Citations
125
Authors
55
Institutions
Publications per year
2017–2026
16
Variants
Semantic Deduplication
Parents
38
Heejung Kim, Yungbum Jung, Sunghun Kim et al. · 2011 · 112 citations
Removing Boilerplate and Duplicate Content from Web Corpora
Jan Pomikálek · 2011 · 104 citations
Duplicate Question Detection With Deep Learning in Stack Overflow
Liting Wang, Li Zhang, Jing Jiang · IEEE Access · 2020 · 62 citations · Full text
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55

Beihang University
Beijing, China
2 h-index
4 publications
211 citations

The University of Melbourne
Melbourne, Australia
2 h-index
2 publications
84 citations
Columbia University
New York, United States
2 h-index
3 publications
151 citations
Telefonica Research and Development
Madrid, Spain
2 h-index
6 publications
195 citations

Macquarie University
Sydney, Australia
2 h-index
3 publications
104 citations

University of Alberta
Edmonton, Canada
2 h-index
12 publications
600 citations
IBM Research - Australia
Melbourne, Australia
2 h-index
4 publications
168 citations

Chongqing University
Chongqing, China
2 h-index
11 publications
208 citations
1–8 of 55
3 publications · 109 citations
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PVLDB · 1 publications · 17 citations
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Repository · 1 publications · 28 citations
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1 publications · 11 citations
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1 publications · 41 citations
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