US Patent 12118816 Continuous learning for document processing and analysis

A document processing method includes receiving one or more sets of documents, and assigning each document to one or more basic clusters based on the metadata of the document. It further includes for each cluster, training a respective basic cluster model detecting one or more visual element types, and responsive to a first threshold criterion measure related to the one or more basic clusters being satisfied, generating one or more superclusters based on an attribute shared by documents comprised by the plurality of basic clusters. The method also includes training a respective supercluster model detecting the one or more element types and generating a generalized cluster from the one or more superclusters. It includes training a generalized model for the generalized cluster, receiving an input document, assigning the input document to corresponding clusters, and detecting visual elements by processing the input document by each of the corresponding models.