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Improving the quality of chemical language model outcomes with atom-in-SMILES tokenization
Tokenization is an important preprocessing step in natural language processing that may have a significant influence on prediction quality. This research showed that the traditional SMILES tokenization has a certain limitation that results in tokens failing to reflect the true nature of molecules. T...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228139/ https://www.ncbi.nlm.nih.gov/pubmed/37248531 http://dx.doi.org/10.1186/s13321-023-00725-9 |