Masaki Uto, Yuto Tomikawa, Ayaka Suzuki. Difficulty-Controllable Neural Question Generation for Reading Comprehension using Item Response Theory. In Ekaterina Kochmar, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Nitin Madnani, Anaïs Tack, Victoria Yaneva, Zheng Yuan 0003, Torsten Zesch, editors, Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2023, Toronto, Canada, 13 July 2023. pages 119-129, Association for Computational Linguistics, 2023. [doi]
Abstract is missing.