Predicting Subjective Features from Questions on QA Websites using BERT-Reference-Cited by-同舟云学术

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Predicting Subjective Features from Questions on QA Websites using BERT

Published:2020-04 Issue: Volume: Page:
ISSN:
Container-title:2020 6th International Conference on Web Research (ICWR)
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Author:

Annamoradnejad Issa,Fazli Mohammadamin,Habibi Jafar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9118608/9122268/09122318.pdf?arnumber=9122318

Cited by 14 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. AraQA-BERT: Towards an Arabic Question Answering System using Pre-trained BERT Models;WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS;2024-08-08

2. DC-BVM: Dual-channel information fusion network based on voting mechanism;Biomedical Signal Processing and Control;2024-08

3. Towards automatic question generation using pre-trained model in academic field for Bahasa Indonesia;Education and Information Technologies;2024-04-30

4. Revolutionizing subjective assessments: A three-pronged comprehensive approach with NLP and deep learning;Expert Systems with Applications;2024-04

5. SAGEConv Graph Neural Network Model for Multivariate Regression using Google Quest Dataset;Procedia Computer Science;2024

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