Annotation Extraction
Annotation Extraction is the scholarly process of systematically identifying and retrieving explicit or implicit annotations—such as labels, comments, metadata, or metadata indicators—embedded within or associated with a document, distinguished from general document analysis by its focused intent on capturing supplementary interpretive or structural information added by human or automated annotators.
55
Publications
2.3K
Citations
206
Authors
79
Institutions
Publications per year
2017–2026
16
Parents
55
S2ORC: The Semantic Scholar Open Research Corpus
Kyle Lo, Lucy Lu Wang, Mark E Neumann et al. · 2020 · 431 citations · Full text
An annotation management system for relational databases
Deepavali Bhagwat, Laura Chiticariu, Wang-Chiew Tan et al. · The VLDB Journal · 2005 · 277 citations
A case for automated large-scale semantic annotation
Stephen Dill, Nadav Eiron, David Gibson et al. · Journal of Web Semantics · 2003 · 129 citations
Annotation: From Paper Books to the Digital Library
Catherine C. Marshall · 1997 · 70 citations
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79

European Bioinformatics Institute
Cambridge, United Kingdom
4 h-index
33 publications
868 citations

Sorbonne Université
Paris, France
2 h-index
2 publications
63 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
4 publications
102 citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
2 h-index
4 publications
102 citations
RedBite (United Kingdom)
Cambridge, United Kingdom
2 h-index
10 publications
255 citations
Inserm
Paris, France
1 h-index
2 publications
20 citations
Pocatello High School
Pocatello, United States
1 h-index
1 publications
32 citations
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Orsay, France
1 h-index
4 publications
60 citations
1–8 of 79
3 publications · 104 citations
3
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2 publications · 37 citations
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Repository · 2 publications · 66 citations
2
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2 publications · 51 citations
2
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2 publications · 65 citations
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