Evaluating human versus machine learning performance in classifying research abstracts

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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Bibliographic Details
Main Authors: Goh, Yeow Chong, Cai, Xin Qing, Theseira, Walter, Ko, Giovanni, Khor, Khiam Aik
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Mechanical engineering
Discipline Classifcation
Text Classifcation
Online Access:https://hdl.handle.net/10356/154620

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