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Reading comprehension as a wide used form of foreign language teaching and assessment has been studies for years. Yet, the automated generation of reading comprehension questions is a relatively new topic in natural language processing or artificial intelligence. Present studies mainly adopt English reading comprehension texts and questions as training and testing language sources, this research tried ChatGPT with a newly designed annotated clause complex corpus as input, achieving better question generation results.

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An Exploratory Research on Reading Comprehension Question Generation Based on Annotated Clause Complex Corpus

  • 会议论文

  • 发表日期：

    2025年

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  • Shili Ge,
  • Xiaoxiao Chen

摘要

Reading comprehension as a wide used form of foreign language teaching and assessment has been studies for years. Yet, the automated generation of reading comprehension questions is a relatively new topic in natural language processing or artificial intelligence. Present studies mainly adopt English reading comprehension texts and questions as training and testing language sources, this research tried ChatGPT with a newly designed annotated clause complex corpus as input, achieving better question generation results.