Evaluating human versus machine learning performance in classifying research abstracts

• 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: Engineering::Mechanical engineering; Discipline Classifcation; Text Classifcation
• Online Access: https://hdl.handle.net/10356/154620
• Institution: Nanyang Technological University

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...