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Research on the evolution of neural networks models in NLP
- 1 College of Engineering, University of Wisconsin – Madison, 1415 Engineering Drive, Madison, WI, United States of America, 53706
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Abstract
Since their first emergence, neural networks have produced significant results and have been an essential tool for solving natural language processing (NLP) problems. This paper aims to provide insight into the development of neural network models and their application in various NLP problems. The efficiency of the different approaches would be analyzed and insight into the different models would be provided. Overall, neural networks have been proven to be essential for solving problems related to NLP, and it is believed that further advancements in newer models would see a surge in performances of questions that were currently considered hard.
Keywords
Neural Network, Natural Language Processing, Algorithms, Machine Learning.
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Cite this article
Zhao,Z. (2023). Research on the evolution of neural networks models in NLP. Applied and Computational Engineering,4,690-695.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
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