Abstract: The present disclosure relates to processing domain-specific natural language commands. An example method generally includes receiving a natural language command. A command processor compares the received natural language command to a corpus of known commands to identify a probable matching command to the received natural language command, wherein the matching is based on an edition error and a recognition error. The corpus of known commands comprises a plurality of domain-specific commands, each of which is mapped to one or more domain-specific entities. Based on the comparison, the command processor identifies one or more entities in the received natural language command to perform an action on based on the mapping of the one or more domain-specific entities in the probable matching command and executes a domain-specific action included in the natural language command on the identified entity.

Abstract: The present disclosure relates to processing domain-specific natural language commands. An example method generally includes receiving a natural language command. A command processor compares the received natural language command to a corpus of known commands to identify a probable matching command in the corpus of known commands to the received natural language command. The corpus of known commands comprises a plurality of domain-specific commands, each of which is mapped to a domain-specific action. Based on the comparison, the command processor identifies the domain-specific action associated with the probable matching command to perform in response to the received command and executes the identified domain-specific action.

Abstract: The invention relates to a method for identifying a life event affecting a user. The method includes obtaining a classification model. The classification model models how financial data of a user relates to life events. Also, the method includes gathering the financial data of the user. The financial data of the user matches at least a subset of the classification model. In addition, the method includes identifying a life event affecting the user by applying the classification model to the financial data of the user. Still yet, the method includes customizing a user interface of an application that is utilized by the user. The customization is based on the identified life event.

Abstract: The present disclosure relates to processing domain-specific natural language commands. An example method generally includes receiving a natural language command. A command processor compares the received natural language command to a corpus of known commands to identify a probable matching command to the received natural language command. The corpus of known commands comprises a plurality of domain-specific commands, each of which is mapped to one or more domain-specific entities. Based on the comparison, the command processor identifies one or more entities in the received natural language command to perform an action on based on the mapping of the one or more domain-specific entities in the probable matching command and executes a domain-specific action included in the natural language command on the identified entity.

Abstract: The present disclosure relates to processing domain-specific natural language commands. An example method generally includes receiving a natural language command. A command processor compares the received natural language command to a corpus of known commands to identify a probable matching command to the received natural language command. The corpus of known commands comprises a plurality of domain-specific commands, each of which is mapped to one or more domain-specific entities. Based on the comparison, the command processor identifies one or more entities in the received natural language command to perform an action on based on the mapping of the one or more domain-specific entities in the probable matching command and executes a domain-specific action included in the natural language command on the identified entity.

Abstract: The present disclosure relates to processing domain-specific natural language commands. An example method generally includes receiving a natural language command. A command processor compares the received natural language command to a corpus of known commands to identify a probable matching command in the corpus of known commands to the received natural language command. The corpus of known commands comprises a plurality of domain-specific commands, each of which is mapped to a domain-specific action. Based on the comparison, the command processor identifies the domain-specific action associated with the probable matching command to perform in response to the received command and executes the identified domain-specific action.