In some implementations, method 300 may be implemented in one or more processing devices (e.g., a digital processor, an analog processor, a digital circuit designed to process information, an analog circuit designed to process information, a state machine, and/or other mechanisms for electronically processing information). The one or more processing devices may include one or more devices executing some or all of the operations of method 300 in response to instructions stored electronically on an electronic storage medium. The one or more processing devices may include one or more devices configured through hardware, firmware, and/or software to be specifically designed for execution of one or more of the operations of method 300.

An operation 302 may compile correspondence information and information from records into input/output pairs. The input/output pairs may comprise training input information and training output information to train a machine learning model. The training input information for an individual input/output pair may include correspondence information for an individual recorded content and individual record, and the training output information for the individual input/output pair including the information from the individual record. Operation 302 may be performed by one or more hardware processors configured by machine-readable instructions including a component that is the same as or similar to machine learning component 112, in accordance with one or more implementations.