Cargando…
Predicting natural language descriptions of mono-molecular odorants
There has been recent progress in predicting whether common verbal descriptors such as “fishy”, “floral” or “fruity” apply to the smell of odorous molecules. However, accurate predictions have been achieved only for a small number of descriptors. Here, we show that applying natural-language semantic...
Autores principales: | Gutiérrez, E. Darío, Dhurandhar, Amit, Keller, Andreas, Meyer, Pablo, Cecchi, Guillermo A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255800/ https://www.ncbi.nlm.nih.gov/pubmed/30478272 http://dx.doi.org/10.1038/s41467-018-07439-9 |
Ejemplares similares
-
Predictive modeling for odor character of a chemical using machine learning combined with natural language processing
por: Nozaki, Yuji, et al.
Publicado: (2018) -
Reduced odor detection and hedonic changes in asymptomatic university students as SARS-CoV-2 emerged locally
por: Walsh-Messinger, Julie, et al.
Publicado: (2020) -
Correction: Predictive modeling for odor character of a chemical using machine learning combined with natural language processing
por: Nozaki, Yuji, et al.
Publicado: (2018) -
Odor descriptive ratings can predict some odor-color associations in different color features of hue or lightness
por: Tamura, Kaori, et al.
Publicado: (2023) -
OWSum: algorithmic odor prediction and insight into structure-odor relationships
por: Schicker, Doris, et al.
Publicado: (2023)