Transformer-based Scoring
Transformer-Based Scoring is a method within automated essay scoring that employs transformer-based deep learning architectures to evaluate and assign scores to student essays by leveraging self-attention mechanisms for capturing contextual linguistic features.
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4.1K
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194
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78
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2017–2026
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arXiv (Cornell University) · 2023 · 2.4K citations · Full text
Should You Fine-Tune BERT for Automated Essay Scoring?
Elijah Mayfield, Alan W. Black · 2020 · 131 citations · Full text
Oscar Kjell, Sverker Sikström, Katarina Kjell et al. · Scientific Reports · 2022 · 87 citations · Full text
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Stelic (Japan)
Tokyo, Japan
2 h-index
2 publications
67 citations

Kanazawa University
Kanazawa, Japan
2 h-index
26 publications
871 citations
Waseda University
Tokyo, Japan
2 h-index
2 publications
67 citations
Jichi Medical University
Shimotsuke, Japan
2 h-index
2 publications
67 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
2 publications
43 citations

TU Wien
Vienna, Austria
2 h-index
4 publications
86 citations
Meta (Israel)
Tel Aviv, Israel
2 h-index
8 publications
1.3K citations
Keio University Shonan Fujisawa
Fujisawa, Japan
2 h-index
2 publications
67 citations
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Repository · 6 publications · 2.6K citations
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1 publications · 33 citations
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1 publications · 27 citations
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1 publications · 65 citations
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1 publications · 25 citations
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