AAEE – Automated evaluation of students’ essays in Arabic language
作者：
Highlights：
• First system for automatically grading school children essays in Arabic.
• System modeled on grading scheme actually employed in Saudi Arabia,s schools.
• Relies on latent semantic analysis (LSA), and Rhetorical Structure Theory (RST).
• Our system achieved an accuracy of 90%.
• Correlation between system’s auto-score and human judgement’s scoring is 0.756.
摘要
•First system for automatically grading school children essays in Arabic.•System modeled on grading scheme actually employed in Saudi Arabia,s schools.•Relies on latent semantic analysis (LSA), and Rhetorical Structure Theory (RST).•Our system achieved an accuracy of 90%.•Correlation between system’s auto-score and human judgement’s scoring is 0.756.
论文关键词：Arabic,Automatic essay scoring,Latent semantic analysis,Rhetorical structure theory,Improving classroom teaching,Interactive learning environments
论文评审过程：Received 17 May 2019, Accepted 23 May 2019, Available online 31 May 2019, Version of Record 31 May 2019.
论文官网地址：https://doi.org/10.1016/j.ipm.2019.05.008
