@inproceedings{yoshimi-etal-2023-distractor,
    title = "Distractor Generation for Fill-in-the-Blank Exercises by Question Type",
    author = "Yoshimi, Nana  and
      Kajiwara, Tomoyuki  and
      Uchida, Satoru  and
      Arase, Yuki  and
      Ninomiya, Takashi",
    editor = "Padmakumar, Vishakh  and
      Vallejo, Gisela  and
      Fu, Yao",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-srw.38",
    doi = "10.18653/v1/2023.acl-srw.38",
    pages = "276--281",
    abstract = "This study addresses the automatic generation of distractors for English fill-in-the-blank exercises in the entrance examinations for Japanese universities. While previous studies applied the same method to all questions, actual entrance examinations have multiple question types that reflect the purpose of the questions. Therefore, we define three types of questions (grammar, function word, and context) and propose a method to generate distractors according to the characteristics of each question type. Experimental results on 500 actual questions show the effectiveness of the proposed method for both automatic and manual evaluation.",
}

This study addresses the automatic generation of distractors for English fill-in-the-blank exercises in the entrance examinations for Japanese universities. While previous studies applied the same method to all questions, actual entrance examinations have multiple question types that reflect the purpose of the questions. Therefore, we define three types of questions (grammar, function word, and context) and propose a method to generate distractors according to the characteristics of each question type. Experimental results on 500 actual questions show the effectiveness of the proposed method for both automatic and manual evaluation.
Yoshimi, Nana Kajiwara, Tomoyuki Uchida, Satoru Arase, Yuki Ninomiya, Takashi
Distractor Generation for Fill-in-the-Blank Exercises by Question Type