ロード中...
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...
保存先:
| 出版年: | Scientometrics |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer International Publishing
2020
|
| 主題: | |
| オンライン･アクセス: | 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 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|