Modeling review helpfulness with augmented transformer neural networks-Reference-Cited by-同舟云学术

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Modeling review helpfulness with augmented transformer neural networks

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 16th International Conference on Semantic Computing (ICSC)
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Author:

Xiao Yunkai¹,Wang Tianle²,Sun Xinhua²,Li Yicong³,Song Yang⁴,Cui Jialin¹,Jia Qinjin¹,Liu Chengyuan¹,Gehringer Edward F.¹

Affiliation:

1. North Carolina State University,Raleigh,North Carolina,United States

2. Beijing University of Posts and Telecommunications,Beijing,China

3. Tsinghua University,Beijing,China

4. University of North Carolina at Wilmington,Wilmington,North Carolina,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9736194/9736265/09736324.pdf?arnumber=9736324

Cited by 3 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. Effectiveness of ELMo embeddings, and semantic models in predicting review helpfulness;INTELL DATA ANAL;2024

2. SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction;Knowledge and Information Systems;2023-11-27

3. Effectiveness of ELMo embeddings, and semantic models in predicting review helpfulness;Intelligent Data Analysis;2023-11-16

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