Explaining ambiguity in scientific language.
The idea that ambiguity can be productive in data science remains controversial. Efforts to make scientific publications and data intelligible to computers generally assume that accommodating multiple meanings for words, known as polysemy, undermines reasoning and communication. This assumption has...
| Publicado en: | Synthese Vol. 200; no. 5; pp. 1 - 28 |
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| Formato: | Artículo |
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Springer Nature
Oct2022
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| Acceso en línea: | Ver este registro en EBSCOhost |