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: | , , , , |
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格式: | Article |
語言: | English |
出版: |
2021
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在線閱讀: | https://hdl.handle.net/10356/154620 |
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機構: | Nanyang Technological University |
語言: | English |