Contract labeling method and device

The invention provides a contract labeling method and device, and relates to the technical field of artificial intelligence, and the method comprises the steps: extracting at least one contract samplefrom contracts of each service type, and obtaining an initial sample set; constructing and training an initial annotation model based on the contract sample of each service type; obtaining a plurality of pre-stored contracts of each service type, and dividing the contracts into a sample expansion set and a test set; marking contract elements in contracts in the sample expansion set by utilizing an initial marking model; combining the labeled sample expansion set and the initial sample set into a training sample set, and optimizing and training an initial labeling model by utilizing the training sample set to obtain a labeling model; inputting the test set into an annotation model, and obtaining an annotation result of a contract in the test set output by the annotation model; and judgingwhether the annotation mod