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Evaluating human versus machine learning performance in classifying research abstracts
We study whether humans or machine learning (ML) classification models are better at classifying scientific research abstracts according to a fixed set of discipline groups. We recruit both undergraduate and postgraduate assistants for this task in separate stages, and compare their performance agai...
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| Publicado en: | Scientometrics |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Springer International Publishing
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7367789/ https://ncbi.nlm.nih.gov/pubmed/32836529 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11192-020-03614-2 |
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