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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...
Autores principales: | Goh, Yeow Chong, Cai, Xin Qing, Theseira, Walter, Ko, Giovanni, Khor, Khiam Aik |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367789/ https://www.ncbi.nlm.nih.gov/pubmed/32836529 http://dx.doi.org/10.1007/s11192-020-03614-2 |
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