A Survey of Deep Learning Methods on Semantic Similarity and Sentence Modeling-Reference-Cited by-同舟云学术

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A Survey of Deep Learning Methods on Semantic Similarity and Sentence Modeling

Published:2021-10-27 Issue: Volume: Page:
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Container-title:2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
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Author:

Zad Samira,Heidari Maryam,Hajibabaee Parisa,Malekzadeh Masoud

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9623060/9623064/09623078.pdf?arnumber=9623078

Cited by 24 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. Secure computation protocol of Chebyshev distance under the malicious model;Scientific Reports;2024-07-24

2. Sentence Embedding with Named Entities for Conversation Fingerprint;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15

3. A hierarchical framework based on transformer technology to achieve factual consistent and non-redundant abstractive text summarization;Multimedia Tools and Applications;2023-10-27

4. Ensemble-Based Short Text Similarity: An Easy Approach for Multilingual Datasets Using Transformers and WordNet in Real-World Scenarios;Big Data and Cognitive Computing;2023-09-25

5. Fine-Tuned training method for semantic text similarity measurement using SBERT, Bi-LSTM and Attention Network;2023 International Conference on Machine Vision, Image Processing and Imaging Technology (MVIPIT);2023-09-22

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