Proceedings of the 14th Workshop on Natural Language Processing for Computer Assisted Language Learning

Selle kollektsiooni püsiv URIhttps://hdl.handle.net/10062/107164

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Sirvi Proceedings of the 14th Workshop on Natural Language Processing for Computer Assisted Language Learning Autor "Lee, John S. Y." järgi

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    PIRLS Category-specific Question Generation for Reading Comprehension
    (University of Tartu Library, 2025-03) Poon, Yin; Wang, Qiong; Lee, John S. Y.; Lam, Yu Yan; Kai Wah Chu, Samuel; Muñoz Sánchez, Ricardo; Alfter, David; Volodina, Elena; Kallas, Jelena
    According to the internationally recognized PIRLS (Progress in International Reading Literacy Study) assessment standards, reading comprehension questions should encompass all four comprehension processes: retrieval, inferencing, integrating and evaluation. This paper investigates whether Large Language Models can produce high-quality questions for each of these categories. Human assessment on a Chinese dataset shows that GPT-4o can generate usable and category-specific questions, ranging from 74% to 90% accuracy depending on the category.