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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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Scientometrics
Hauptverfasser: Goh, Yeow Chong, Cai, Xin Qing, Theseira, Walter, Ko, Giovanni, Khor, Khiam Aik
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer International Publishing 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7367789/
https://ncbi.nlm.nih.gov/pubmed/32836529
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11192-020-03614-2
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