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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Detalles Bibliográficos
Autores principales: Goh, Yeow Chong, Cai, Xin Qing, Theseira, Walter, Ko, Giovanni, Khor, Khiam Aik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Article
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

Internet

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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