SEGMENTATION OF PAGE STREAM DOCUMENTS FOR BIDIRECTIONAL ENCODER REPRESENTATIONAL TRANSFORMERS

Systems and methods relate generally to performing a machine learning task on training documents to generate an output. In an example method, a pretrained Sentence Bidirectional Encoder Representational Transformers ("S-BERT") model is obtained. The training documents are scanned by a plurality of scanners. Content of the training documents is recognized with character recognition. The content is templated responsive to the character recognition. The content is processed with the pretrained S-BERT model for training thereof. A trained S-BERT model is generated from the processing of the content as the output. The trained S-BERT model is configured to automatically categorize and assemble non-training documents into original configurations thereof.