Application of Quantum Recurrent Neural Network in Low-Resource Language Text Classification-Reference-Cited by-同舟云学术

Application of Quantum Recurrent Neural Network in Low-Resource Language Text Classification

Published:2024 Issue: Volume:5 Page:1-13
ISSN:2689-1808
Container-title:IEEE Transactions on Quantum Engineering
language:
Short-container-title:IEEE Trans. Quantum Eng.

Author:

Yu Wenbin¹^ORCID,Yin Lei¹^ORCID,Zhang Chengjun²^ORCID,Chen Yadang³^ORCID,Liu Alex X.⁴^ORCID

Affiliation:

1. School of Software, Nanjing University of Information Science and Technology, Nanjing, China

2. Nanjing University of Information Science and Technology, Wuxi Institute of Technology, Wuxi, China

3. School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China

4. Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Innovation Program for Quantum Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8924785/10379182/10461108.pdf?arnumber=10461108

Reference37 articles.

1. Genetic algorithms and machine learning

2. Machine Learning

3. Natural language processing: an introduction

4. A Survey of the Usages of Deep Learning for Natural Language Processing

Cited by 2 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. A Robust Intelligent System for Text-Based Traffic Signs Detection and Recognition in Challenging Weather Conditions;IEEE Access;2024

2. A Comparative Analysis of LSTM and BERT Models for Named Entity Recognition in Kazakh Language: A Multi-classification Approach;Communications in Computer and Information Science;2024