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Abstract
In this study, we developed PASTA-I, an automated scoring program for Korean essays, to solve the problems of scoring burden and objectivity and consistency of scoring. PASTA-I builds a scoring model based on data on three topics from the ‘Essay Writing Evaluation Data’ released by the National Information society Agency(NIA) The scoring was done with 3 points scale across 10 scoring areas, and accordingly, the automated scoring model was implemented in this study so that scoring was done for each of the 10 scoring areas. The algorithm used to implement the scoring model was electra-kor-base, which was trained on Korean data based on the ELECTRA model, and the performance of the automated scoring model was verified using testing data set on three topics, including ‘The biography’, ‘Movie/reading review,’ and ‘My personality strengths and weaknesses,’ and the results showed an accuracy of .7 or higher in almost all areas.
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