| 期刊全称 | Auto-Grader - Auto-Grading Free Text Answers | | 影响因子2023 | Robin Richner | | 视频video | | | 学科分类 | BestMasters | | 图书封面 |  | | 影响因子 | Teachers spend a great amount of time grading free text answer type questions. To encounter this challenge an auto-grader system is proposed. The thesis illustrates that the auto-grader can be approached with simple, recurrent, and Transformer-based neural networks. Hereby, the Transformer-based models has the best performance. It is further demonstrated that geometric representation of question-answer pairs is a worthwhile strategy for an auto-grader. Finally, it is indicated that while the auto-grader could potentially assist teachers in saving time with grading, it is not yet on a level to fully replace teachers for this task. | | Pindex | Book 2022 |
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发表于 2025-3-21 17:02:27
