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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Detalhes bibliográficos
Principais autores: Goh, Yeow Chong, Cai, Xin Qing, Theseira, Walter, Ko, Giovanni, Khor, Khiam Aik
Outros Autores: School of Mechanical and Aerospace Engineering
Formato: Journal Article
Idioma:English
Publicado em: 2021
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/154620