Research on the evolution of neural networks models in NLP
Ziang Zhao · Applied and Computational Engineering · 2023
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.