Enhancing Lexical-Based Approach With External Knowledge for Vietnamese Multiple-Choice Machine Reading Comprehension-Reference-Cited by-同舟云学术

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Enhancing Lexical-Based Approach With External Knowledge for Vietnamese Multiple-Choice Machine Reading Comprehension

Published:2020 Issue: Volume:8 Page:201404-201417
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nguyen Kiet Van^ORCID,Tran Khiem Vinh^ORCID,Luu Son T.,Nguyen Anh Gia-Tuan,Nguyen Ngan Luu-Thuy

Funder

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09247161.pdf?arnumber=9247161

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Numerical reasoning reading comprehension on Vietnamese COVID-19 news: task, corpus, and challenges;Neural Computing and Applications;2024-05-03

2. An Efficient Document Retrieval for Korean Open-Domain Question Answering Based on ColBERT;Applied Sciences;2023-12-12

3. Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education;Proceedings of the 12th International Symposium on Information and Communication Technology;2023-12-07

4. A survey of deep learning techniques for machine reading comprehension;Artificial Intelligence Review;2023-09-15

5. Multi-stage transfer learning with BERTology-based language models for question answering system in vietnamese;International Journal of Machine Learning and Cybernetics;2023-01-30

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