Double Negation Detection is a computational method in natural language processing that identifies instances where two negating elements co-occur within a linguistic context to convey an affirmative meaning, distinguishing it from single negation detection by explicitly modeling the interaction between paired negators.
4
Publications
186
Citations
14
Authors
8
Institutions
Publications per year
2017–2026
1
Parents
Publications
4
Double Negation in a Negative Concord language: An experimental investigation
Viviane Déprez, Susagna Tubau, Anne Cheylus et al. · Lingua · 2015 · 92 citations · Full text
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Authors
14
- DK
1
h-index
- MT
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- ST
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- CACuny Academic Works
1 publications · 11 citations
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- DY
1
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1–5 of 14
Institutions
8
Centre National de la Recherche Scientifique
Paris, France
1 h-index
2 publications
184 citations
University of Arizona
Tucson, United States
1 h-index
7 publications
210 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
92 citations
Universitat Autònoma de Barcelona
Cerdanyola del Vallès, Spain
1 h-index
2 publications
184 citations
Pomona College
Claremont, United States
1 h-index
1 publications
30 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
1 h-index
2 publications
184 citations
Laboratoire sur le Langage, le Cerveau et la Cognition
Bron, France
1 h-index
2 publications
184 citations
Institut des Sciences Cognitives
Bron, France
1 h-index
2 publications
184 citations
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Venues
- Lingua
1 publications · 92 citations
1
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- CUNY Academic Works (City University of New York)
Repository · 1 publications · 53 citations
1
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- Journal of Biomedical Informatics
1 publications · 30 citations
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