EconPapers    
Economics at your fingertips  
 

An approach to automatic answering for English reading comprehension tests

Phat Tien Bui, Hieu Chi Tran and Thanh Huu Duong
Additional contact information
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

HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY, 2024, vol. 14, issue 2, 58-67

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.

Keywords: BERT; multiple choice; Masked Language Model (MLM); Question Answering (QA); tokenization; transformer; word embeddings (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/2917/2032 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjw:techen:v:14:y:2024:i:2:p:58-67

DOI: 10.46223/HCMCOUJS.tech.en.14.2.2917.2024

Access Statistics for this article

HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY is currently edited by Nguyen Thuan

More articles in HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY from HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY
Bibliographic data for series maintained by Vu Tuan Truong ().

 
Page updated 2025-03-19
Handle: RePEc:bjw:techen:v:14:y:2024:i:2:p:58-67