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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Deep Learning Models for Short Answer Scoring |
| Authors Name: | Saurav Kumar , Ahtesham Farooqui , Sachin Sahu |
| Unique Id: | IJSDR2401089 |
| Published In: | Volume 9 Issue 1, January-2024 |
| Abstract: | Automated scoring of descriptive answers is a critical component in educational assessment, leveraging advancements in Natural Language Processing (NLP). Recent years have witnessed substantial growth in NLP, primarily attributed to the transformative impact of deep learning. This research explores the application of deep learning techniques, emphasizing their efficacy in automated scoring, particularly within the realm of short answer scoring tasks. In this study, we systematically compare various common deep learning models for the Short Answer Scoring (SAS) task. The outcomes shed light on the strengths and weaknesses of these models, providing valuable insights for the advancement of automated scoring systems in educational settings. |
| Keywords: | NLP, Deep Learning, Short Answer Scoring (SAS) Task, Educational Assessment, Automated Scoring. |
| Cite Article: | "Deep Learning Models for Short Answer Scoring", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 1, page no.625 - 630, January-2024, Available :http://www.ijsdr.org/papers/IJSDR2401089.pdf |
| Downloads: | 000338719 |
| Publication Details: | Published Paper ID: IJSDR2401089 Registration ID:209898 Published In: Volume 9 Issue 1, January-2024 DOI (Digital Object Identifier): Page No: 625 - 630 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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