Patent ID: 11941522
Assignee: ZHEJIANG UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The address information feature extraction method based on a deep neural network model according to claim 1, wherein a specific implementation flowchart of the step S4 comprises steps of:
S41: connecting the word embedding module in the step S1, the feature extraction module in the step S2, and the target task module in the step S3 in sequence, to form a Chinese addresses language model;
S42: constructing a training framework for the Chinese addresses language model, and in the training framework, first defining the natural language training program based on the random masking strategy, then constructing the dictionary and model input of the training data, then defining a loss function and optimizing the model parameter variables by constructing a neural network optimizer; and
S43: training the Chinese addresses language model based on the training framework, such that the model outputs semantic feature vector expression of each of the characters in the address text.