Optimization of Natural Language Understanding with Contextual Embeddings-Reference-Cited by-同舟云学术

Optimization of Natural Language Understanding with Contextual Embeddings

Published:2023-11-01 Issue: Volume:3 Page:1-6
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
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Author:

Sangeetha R.¹,Srivastava Durgesh²,Logeshwaran J.³,Vishwakarma Pramod⁴,Vats Satvik⁵

Affiliation:

1. Karunya Institute of Technology and Sciences,Department of CSE,Coimbatore,Tamil Nadu,India

2. Chitkara University Institute of Engineering and Technology, Chitkara University,Rajpura,Punjab,India

3. Sri Eshwar College of Engineering,Department of ECE,Coimbatore,Tamil Nadu,India

4. (AIT) Chandigarh University,CSE,Gharuan, Mohali,Punjab,India

5. Graphic Era Hill University,Computer Science & Engineering,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10369022.pdf?arnumber=10369022

Reference24 articles.

1. AICSA - an artificial intelligence cyber security algorithm for cooperative P2P file sharing in social networks;Logeshwaran;ICTACT Journal on Data Science and Machine Learning,2021

2. Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions

3. Comparison between Adaptive Double-Threshold Based Energy Detection and Cyclostationary Detection Technique for Cognitive Radio Networks

4. Multimedia group and inter-stream synchronization techniques: A comparative study

5. SBML algorithm for intelligent fuel filling (IFF) and smart vehicle identification system (SVIS);Logeshwaran;International Journal of Advanced Research in Management, Architecture, Technology & Engineering,2016

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