Deep Text Retrieval Models based on DNN, CNN, RNN and Transformer: A review-Reference-Cited by-同舟云学术

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Deep Text Retrieval Models based on DNN, CNN, RNN and Transformer: A review

Published:2022-11-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)
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Author:

Liu Jianping¹,Chu Xintao¹,Wang Yingfei¹,Wang Meng¹

Affiliation:

1. North Minzu University,Ningxia,China,750021

Funder

North Minzu University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10016307/10016308/10016379.pdf?arnumber=10016379

Reference52 articles.

1. Open-Retrieval Conversational Question Answering

2. A Question Answering System Based on Deep Learning

3. A Deep Look into Neural Ranking Models for Information Retrieval;guo;Information Processing & Management,2019

4. A review on deep learning in medical image analysis;suganyadevi;International Journal of Multimedia Information Retrieval,2021

5. Attention is all you need;vaswani;presented at the Proceedings of the 31st International Conference on Neural Information Processing Systems,0

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. Neuromorphic one-shot learning utilizing a phase-transition material;Proceedings of the National Academy of Sciences;2024-04-17

2. Image-Text Connection: Exploring the Expansion of the Diversity Within Joint Feature Space Similarity Scores;IEEE Access;2023

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