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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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Main Authors: Goh, Yeow Chong, Cai, Xin Qing, Theseira, Walter, Ko, Giovanni, Khor, Khiam Aik
其他作者: School of Mechanical and Aerospace Engineering
格式: Article
語言:English
出版: 2021
主題:
在線閱讀:https://hdl.handle.net/10356/154620
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機構: Nanyang Technological University
語言: English