Abstract: Provided are methods, systems, and computer storage media for determining a command (e.g., intent) of an image based on image data features. A task associated with the determined command is generated based on a portion of the image data features. Task entities corresponding to the task are determined. The task and the corresponding task entities are generated and configured for use in a computer productivity application. Accordingly, present embodiments provide an improved technique for generating command-specific tasks and task entities that may be integratable for use in a computer productivity application to enhance functionality of a computer productivity application and reduce computational resources utilized by manually creating these tasks and task entities.

Abstract: Systems and methods for annotated data collection in an electronic messaging platform. One example system includes a machine learning database and an electronic processor communicatively coupled to the machine learning database. The electronic processor is configured to receive a plurality of electronic messages. The electronic processor is configured to select a sample message set from the plurality of electronic messages. The electronic processor is configured to add an actionable message to each electronic message of the sample message set. The electronic processor is configured to receive an actionable message selection from an electronic messaging client. The actionable message selection includes a user label indication and a message identifier. The electronic processor is configured to store the actionable message selection in the machine learning database.