An automatic text scoring system developed at RIKEN Center for Advanced Intelligence Project (AIP) will provide automatic scoring functionality in an online course*, to be offered starting July 2021 by Yoyogi Seminar (SAPIX YOZEMI GROUP), an educational institution in Japan. The automatic text scoring system is based on machine learning and was developed by the Natural Language Understanding Team led by Prof. Kentaro Inui at RIKEN AIP.

For more information on the automatic text scoring technology developed by the Natural Language Understanding Team, please refer to the following references.

・Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita and Kentaro Inui. Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. In Proceedings of the 2020 ACL Student Research Workshop (2020 ACL SRW), pp.237-243, July 2020.

https://www.aclweb.org/anthology/2020.acl-srw.32/

・Tomoya Mizumoto, Hiroki Ouchi, Yoriko Isobe, Paul Reisert, Ryo Nagata, Satoshi Sekine and Kentaro Inui. Analytic Score Prediction and Justification Identification in Automated Short Answer Scoring. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications (BEA 14). pp. 316-325, August 2019.

https://www.aclweb.org/anthology/W19-4433/

For more details, please see the following site.
*only available in Japanese

https://www.yozemi.ac.jp/news/press/__icsFiles/afieldfile/2021/05/27/aisaiten_210527.pdf
https://www.riken.jp/pr/news/2021/20210527_1/index.html en
Technologies
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