GRAPH NEURAL NETWORK-BASED TEXT ERROR CORRECTION METHOD, APPARATUS AND DEVICE, AND STORAGE MEDIUM

摘要

The present application relates to the field of artificial intelligence, and is applied to the field of smart medical treatment. Disclosed are a graph neural network-based text error correction method, apparatus and device, and a storage medium, used for avoiding a large amount of data calculation when a medical service system performs text error correction of a text corpus to be tested, and improving text error correction efficiency. The graph neural network-based text error correction method comprises: according to a medical service corpus, establishing a similar shape confusion corpus set and a similar sound confusion corpus set; on the basis of a preset graph neural network, establishing a similar shape confusion structure graph and a similar sound confusion structure graph; sequentially performing a graph convolution operation and a graph attention calculation on the similar shape confusion structure graph and the similar sound confusion structure graph, and obtaining a confusion corpus structure graph; using a preset vector extractor to extract character vectors of a text corpus to be tested, and according to basic similarity probabilities between the character vectors and the confusion corpus structure graph, changing the text corpus to be tested, and obtaining a target text corpus.