Noise Removal
Noise Removal is a text preprocessing technique that identifies and eliminates irrelevant or corrupting elements—such as special characters, HTML tags, or typographical errors—from textual data to improve the quality and consistency of the input for downstream natural language processing tasks.
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Publications
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Citations
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Authors
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Institutions
Publications per year
2017–2026
630
Parents
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Noise2Noise: Learning Image Restoration without Clean Data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren et al. · arXiv (Cornell University) · 2018 · 988 citations · Full text
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Institute of Global Environment and Society, United States
8 publications · 374 citations
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University of Electronic Science and Technology of China, China
8 publications · 785 citations
8
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8
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University of Electronic Science and Technology of China, China
8 publications · 766 citations
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Chinese Academy of Sciences
Beijing, China
23 h-index
105 publications
4.2K citations

Centre National de la Recherche Scientifique
Paris, France
22 h-index
61 publications
8.5K citations

University of Electronic Science and Technology of China
Chengdu, China
19 h-index
67 publications
4.5K citations

Harbin Institute of Technology
Harbin, China
18 h-index
62 publications
3.5K citations
University of Chinese Academy of Sciences
Beijing, China
17 h-index
46 publications
1.6K citations
Wuhan University
Wuhan, China
17 h-index
57 publications
6.3K citations

Xidian University
Xi'an, China
16 h-index
57 publications
3.8K citations
University of Science and Technology of China
Hefei, China
13 h-index
36 publications
1.5K citations
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51 publications · 12.1K citations
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37 publications · 3.7K citations
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30 publications · 1.8K citations
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20 publications · 598 citations
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17 publications · 679 citations
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