6:40 PM - 7:00 PM
[2I5-J-9-05] Automatic Scoring and Scoring Support System using LSTM and Attention
Keywords:NLP, automatic scoring, scoring support, machine learning
In the university unified entrance examinations from 2020, a new kind of question to require answers in description style will be introduced. In this paper, we apply the scoring using LSTM and attention. We use about 1,200 score sheets and prepare two datasets((a), (b)) in the evaluation. (a) is randomly generated and (b) is generated using an automatic scoring system. As a result, the accuracy is 0.91 for (a) and 0.73 for (b).