Academic Journal
Domain-Specific Hybrid BERT based System for Automatic Short Answer Grading
| العنوان: | Domain-Specific Hybrid BERT based System for Automatic Short Answer Grading |
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| المؤلفون: | Garg, Jai, Papreja, Jatin, Apurva, Kumar, Jain, Dr. Goonjan |
| المصدر: | Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146; Vol 8 No 2 (2022): Volume 8 Issue II; 39-44 ; 2350-1146 |
| بيانات النشر: | ASIAN SOCIETY FOR SCIENTIFIC RESEARCH |
| سنة النشر: | 2022 |
| الوصف: | Effective and efficient grading has been recognized as an important issue in any educational institution. In this study, a grading system involving BERT for Automatic Short Answer Grading (ASAG) is proposed. A BERT Regressor model is fine- tuned using a domain-specific ASAG dataset to achieve a baseline performance. In order to improve the final grading performance, an effective strategy is proposed involving careful integration of BERT Regressor model with Semantic Text Similarity. A set of experiments is conducted to test the performance of the proposed method. Two performance metrics namely: Pearson’s Correlation Coefficient and Root Mean Squared Error are used for evaluation purposes. The results obtained highlights the usefulness of proposed system for domain specific ASAG tasks in real life. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | https://asianssr.org/index.php/ajct/article/view/1225/903; https://asianssr.org/index.php/ajct/article/view/1225 |
| DOI: | 10.33130/AJCT.2022v08i02.09 |
| الاتاحة: | https://asianssr.org/index.php/ajct/article/view/1225 https://doi.org/10.33130/AJCT.2022v08i02.09 |
| رقم الانضمام: | edsbas.7DFDDE41 |
| قاعدة البيانات: | BASE |
| DOI: | 10.33130/AJCT.2022v08i02.09 |
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