Automatic essay grading using text categorization techniques
Leah S. Larkey · 1998
Several standard text-categorization techniques were applied to the problem of automated essay grading.Bayesian independence classifiers and knearest-neighbor classifiers were trained to assign scores to manually-graded essays.These scores were combined with several other summary text measures using linear regression.The classifiers and regression equations were then applied to a new set of essays.The classifiers worked very well.The agreement between the automated grader and the final manual grade was as good as the agreement between human graders.