Natural Language Dialogue Model Based on Multi-Head Graph Attention Neural Network

The practical application of artificial intelligence in the field of natural language processing is becoming more and more extensive, and the technology is changing day by day. With the rapid update and development of artificial intelligence technology, more and more researchers find that the use of graph neural networks to construct a natural language dialog model can obtain better results than other artificial intelligence techniques, due to the fact that the deep neural network model is too large and complex, which hinders the practical application of artificial intelligence technology in the field of natural language dialog, in this paper, we propose a natural language dialog model based on the multi-head graph attention neural network This paper proposes a natural language dialog model based on multi-head graph attention neural network, which verifies the practicability and robustness of the method after simulation experiments.