Automatic Annotation
Automatic Annotation is a computational process within corpus annotation that automatically assigns linguistic or semantic labels to raw text data using predefined rules, algorithms, or machine learning models, distinguishing it from manual or semi-supervised annotation methods by its complete reliance on automated systems.
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2017–2026
372
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KEGG as a reference resource for gene and protein annotation
Minoru Kanehisa, Yoko Sato, Masayuki Kawashima et al. · Nucleic Acids Research · 2015 · 7.9K citations · Full text
NCBI prokaryotic genome annotation pipeline
Tatiana Tatusova, Michael DiCuccio, Azat Badretdin et al. · Nucleic Acids Research · 2016 · 7K citations · Full text
KAAS: an automatic genome annotation and pathway reconstruction server
Yuki Moriya, Masumi Itoh, Shujiro Okuda et al. · Nucleic Acids Research · 2007 · 4.3K citations · Full text
Learning realistic human actions from movies
Ivan Laptev, Marcin Marszałek, Cordelia Schmid et al. · 2008 · 3.5K citations · Full text
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European Bioinformatics Institute
Cambridge, United Kingdom
23 h-index
123 publications
35.8K citations
Microsoft Research Asia (China)
Beijing, China
21 h-index
52 publications
3.6K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
71 publications
8.1K citations
Carnegie Mellon University
Pittsburgh, United States
15 h-index
38 publications
1.8K citations

University of Edinburgh
Edinburgh, United Kingdom
14 h-index
32 publications
1.7K citations

Johns Hopkins University
Baltimore, United States
13 h-index
33 publications
3.7K citations
University of Florence
Florence, Italy
12 h-index
47 publications
1.4K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
28 publications
1.6K citations
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21 publications · 31.9K citations
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25 publications · 5.3K citations
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Repository · 35 publications · 1.4K citations
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18 publications · 551 citations
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