Document Deduplication
Document Deduplication is a data curation process that identifies and removes redundant or duplicate document instances within a dataset while preserving a single canonical representation, distinguishing it from other data preprocessing methods by its exclusive focus on eliminating verbatim or near-identical document-level repetitions.
7
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243
Citations
37
Authors
17
Institutions
Publications per year
2017–2026
3
7
Nikolay Borissov, Quentin Haas, Beatrice Minder et al. · Systematic Reviews · 2022 · 105 citations · Full text
Rule-based deduplication of article records from bibliographic databases
Yu Jiang, Can Lin, Weiyi Meng et al. · Database · 2014 · 40 citations · Full text
Unsupervised deduplication using cross-field dependencies
Rob Hall, Charles Sutton, Andrew McCallum · 2008 · 31 citations · Full text
CopyCat: Near-Duplicates Within and Between the ClueWeb and the Common Crawl
Maik Fröbe, Janek Bevendorff, Lukas Gienapp et al. · 2021 · 19 citations
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17

The Open University
Milton Keynes, United Kingdom
1 h-index
3 publications
30 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
3 publications
93 citations
Risk Engineering (Bulgaria)
Sofia, Bulgaria
1 h-index
1 publications
105 citations
University of Illinois Chicago
Chicago, United States
1 h-index
6 publications
240 citations
Oregon Health & Science University
Portland, United States
1 h-index
6 publications
240 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
1 h-index
3 publications
75 citations

University of Passau
Passau, Germany
1 h-index
1 publications
13 citations
HES-SO Genève
Geneva, Switzerland
1 h-index
1 publications
105 citations
1–8 of 17
1 publications · 105 citations
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Repository · 1 publications · 10 citations
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1 publications · 40 citations
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1 publications · 25 citations
1
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1 publications · 14 citations
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