Design and Implementation of Intelligent Scoring System for Handwritten Short Answer Based on Deep Learning
| Autor: | Lin Yubei, Chen Feng, Lin Zilong, Liubin Zheng, Pingping Chen, Shumao Sun |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Scoring system Computer science business.industry Deep learning Short answer 02 engineering and technology computer.software_genre 020901 industrial engineering & automation ComputingMilieux_COMPUTERSANDEDUCATION 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Grading (education) business computer Natural language processing Semantic matching |
| Zdroj: | 2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS). |
| DOI: | 10.1109/icaiis49377.2020.9194943 |
| Popis: | Automatic scoring of subjective questions is the key to the intelligent marking system. Aiming at the problem of low accuracy in the existing subjective question automatic grading system and combining with the characteristics of teachers' artificial grading, this paper studies and implements an intelligent grading system of handwritten short answer based on deep learning. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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