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電気通信大学大学院 / 情報・ネットワーク工学専攻
Difficulty-Controllable Neural Question Generation for Reading Comprehension using Item Response Theory
- 【InProceedings】 - Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) @ The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) - ACL SIG EDU主催 - Difficulty-Controllable Neural Question Generation for Reading Comprehension using Item Response Theory - Masaki Uto・Yuto Tomikawa・Ayaka Suzuki． - https://aclanthology.org/2023.bea-1.10/