Automated essay scoring with SBERT embeddings and LSTM-Attention networks
Automated essay scoring (AES) is essential in the field of educational technology, providing rapid and accurate evaluations of student writing. This study presents an innovative AES method that integrates Sentence-BERT (SBERT) with Long Short-Term Memory (LSTM) networks and attention mechanisms to i...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-02-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2634.pdf |
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