Research on Related Technologies of Natural Language Processing Based on Convolutional Neural Network
Tao Li · 2021 International Conference on Electronic Information Technology and Smart Agriculture (ICEITSA) · 2021
Natural language processing as the current science and technology innovation and the main direction of artificial intelligence research and needs to be communication between man and machine as a fusion algorithm of computer science, linguistics, mathematics, and other the premise condition of theoretical knowledge, experience and combined with empirical research scholars at home and abroad to conduct a comprehensive discussion. This paper mainly starts from the convolutional neural network algorithm, and makes an in-depth study of Chinese entity relation extraction in natural language processing. Combined with empirical cases, the final results show that it is feasible to extract Chinese entity relation using convolutional neural network model.