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Bert Embedding and Scoring for Scientific Automatic Essay Grading

The educational landscape is experiencing a surging demand for Automated Essay Grading (AEG), prompting the need for innovative solutions. This paper introduces a cutting-edge methodology that harnesses the power of Bidirectional Encoder Representation from Transformers (BERT) to embed and score ess...

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書誌詳細
主要な著者: Abeer Abdulkarem, Anastasia Krivtsun
フォーマット: Artigo
言語:Inglês
出版事項: Anhalt University of Applied Sciences 2024-03-01
シリーズ:Proceedings of the International Conference on Applied Innovations in IT
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オンライン・アクセス:https://icaiit.org/paper.php?paper=12th_ICAIIT_1/2_7
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