Fuente: WIPO "tomato" The present invention includes novel methods and systems for deriving meaning from context, enabling the automation of processes that currently require significant human judgment and intervention. An autonomous event-driven system runs on a continuous basis over time, detecting and responding to new events as new information is obtained (including the mere passage of time) to implement virtually any scenario in which relationships among data within and across documents are difficult to discern (without human intervention) from the explicit information contained in the documents (DDRs). Trained models perform contextual semantic derivation (CSD), often in parallel, to derive meaning from context within and across documents in the form of DDRs and other relationships stored in an iteratively traversed and updated knowledge graph, which is leveraged to perform lower-level document processing tasks (capture, classification, matching, reconciliation, etc.) as well as higher-level tasks (natural-language interrogation, anomaly detection and resolution, decisioning and analytics).