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An approach to automatic answering for English reading comprehension tests

Author

Listed:
  • Phat Tien Bui

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

  • Hieu Chi Tran

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

  • Thanh Huu Duong

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

Abstract

This study focuses on the reading comprehension problem with multiple-choice answers, using the BERT model to achieve the highest performance. The ultimate goal is to create a solution to help solve reading comprehension problems without any reasoning or knowledge, suitable for the level of students in grades six and seven. The model will solve factoid questions from a given text. Our research topic will use a deep learning model-based approach to create a model that automatically answers the English reading comprehension question. We obtain promising results to give an accuracy of 78 percent.

Suggested Citation

  • Phat Tien Bui & Hieu Chi Tran & Thanh Huu Duong, 2024. "An approach to automatic answering for English reading comprehension tests," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 14(2), pages 58-67.
    • Handle: RePEc:bjw:techen:v:14:y:2024:i:2:p:58-67
    DOI: 10.46223/HCMCOUJS.tech.en.14.2.2917.2024
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