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: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/154620
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Institution: Nanyang Technological University
Language: English