System and Method for Selecting and Providing Available Actions from One or More Computer Applications to a User

A computer-implemented method for selecting and providing available actions from one or more computer applications to a user, the method comprising:

• inputting, by one or more computing devices, a model input that comprises context data into a machine-learned model that is configured to receive the model input, and, in response to receipt of the model input, output a model output that describes one or more semantic entities referenced by the context data;
• receiving, by the one or more computing devices, as an output of the machine-learned model, the model output that describes the one or more semantic entities referenced by the context data;
• providing, by the one or more computing devices, data descriptive of the one or more semantic entities to the one or more computer applications;
• receiving, by the one or more computing devices, one or more application outputs respectively from the one or more computing applications in response to providing the data descriptive of the one or more semantic entities to the one or more computer applications, wherein the application output received from each computer application describes one or more available actions of the corresponding computer application with respect to the one or more semantic entities;
• and
• providing, by the one or more computing devices, at least one indicator to a user of the computing system, wherein the at least one indicator describes at least one of the one or more available actions of the corresponding computer applications with respect to the one or more semantic entities.