Abstract: A method, computer system, and a computer program product for coordinating supervision of at least one document processing pipeline is provided. The present invention may include receiving one or more documents. The present invention may then include parsing the received one or more documents to identify one or more performance indicators associated with the received one or more documents. The present invention may also include processing the parsed one or more documents based on a series of processor nodes. The present invention may further include identifying one or more deviations associated with the identified one or more performance indicators. The present invention may also include transferring the identified one or more deviations to a supervisor component. The present invention may then include generating at least one deviation escalation. The present invention may then further include reprocessing the generated at least one deviation escalation after a human response.

Abstract: A method, computer system, and a computer program product for coordinating supervision of at least one document processing pipeline is provided. The present invention may include receiving one or more documents. The present invention may then include parsing the received one or more documents to identify one or more performance indicators associated with the received one or more documents. The present invention may also include processing the parsed one or more documents based on a series of processor nodes. The present invention may further include identifying one or more deviations associated with the identified one or more performance indicators. The present invention may also include transferring the identified one or more deviations to a supervisor component. The present invention may then include generating at least one deviation escalation. The present invention may then further include reprocessing the generated at least one deviation escalation after a human response.

Abstract: A computer-implemented method for electronically identifying new content in a digital document. The method includes receiving a digital document, utilizing a NLP pipeline to identify one or more articles of subject matter content, together with their respective relationships, contained within the digital document. The method further includes generating, by the NLP pipeline, a knowledge graph, based on the one or more relationships between the one or more articles of subject matter content contained within the digital document, and comparing the generated knowledge graph to one or more stored knowledge graphs based on a novelty-criteria, to determine whether the identified one or more articles of subject matter content, together with their respective relationships, are represented in the one or more stored knowledge graphs. The method further includes communicating one or more portions of the digital document that were determined to not be contained within the one or more stored knowledge graphs.