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5 July 2024 Improvements in natural language understanding using deep learning
Xia Cen
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Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131841U (2024) https://doi.org/10.1117/12.3033221
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia
Abstract
Natural Language Processing (NLP) is a growing area of artificial intelligence research with the goal of enabling computers to understand and interpret human language. In this study, we propose a new deep learning-based model that aims to improve machine understanding of natural language. We implemented a model that combines Recurrent Neural Networks (RNN) and Attention Mechanisms and tested it on multiple datasets, including sentiment analysis and text summarization. Experimental results show that our model outperforms existing techniques on several tasks.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Xia Cen "Improvements in natural language understanding using deep learning", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131841U (5 July 2024); https://doi.org/10.1117/12.3033221
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KEYWORDS
Data modeling
Deep learning
Data processing
Analytical research
Neural networks
Semantics
Transformers
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