JSAI2019

Presentation information

General Session

General Session » [GS] J-9 Natural language processing, information retrieval

[2I5-J-9] Natural language processing, information retrieval: classification and evaluation

Wed. Jun 5, 2019 5:20 PM - 7:00 PM Room I (306+307 Small meeting rooms)

Chair:Hirotoshi Taira Reviewer:Kugatsu Sadamitsu

6:40 PM - 7:00 PM

[2I5-J-9-05] Automatic Scoring and Scoring Support System using LSTM and Attention

〇Kohei Takai1, Kengo Taketani1, Junpei Hayakawa2, Yasukuni Mori3, Hiroki Suyari3 (1. Department of Applied and Cognitive Informatics, Graduate School of Science and Engineering, Chiba University, 2. Department of Informatics and Imaging Systems, Faculty of Engineering, Chiba University, 3. Graduate School of Engineering, Chiba University)

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).