An approach to automatic answering for English reading comprehension tests=An approach to automatic answering for English reading comprehension tests

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Tác giả: Phat Tien Bui, Thanh Huu Duong, Hieu Chi Tran

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Ho Chi Minh City Open University Journal of Science: Engineering and Technology, 2024

Mô tả vật lý: tr.59-68

Bộ sưu tập: Metadata

ID: 252072

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.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.
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