Abstract: One disclosed example provides a computing system configured to receive input defining a machine conversation dialog flow, display in an editing user interface a first representation of the machine conversation dialog flow in the form of a symbolic representation, receive input requesting display of a second representation of the machine conversation dialog flow, and in response to the request display in the editing user interface the machine conversation dialog flow in the character-based representation. The computing system is further configured to, based upon the machine conversation dialog flow, update a machine conversation schema template to form an updated machine conversation schema, and form an agent definition file based upon the updated machine conversation schema for use in executing the machine conversation dialog flow.

Abstract: The present disclosure describes an exemplary hybrid client/server architecture that may be utilized leverage the unique capabilities of both remote and local services. Data may be processed in parallel by remote and local processes. Results generated during the parallel processing may be exchanged between remote and local services and used to update results generated by the separate services. The hybrid client/server architecture may be utilized to generate enhanced inferences, hybrid subscriptions base upon local and remote subscriptions, and enhance natural language expression evaluation services.

Abstract: A local feedback mechanism for customizing training models based on user data and directed user feedback is provided in speech recognition applications. The feedback data is filtered at different levels to address privacy concerns for local storage and for submittal to a system developer for enhancement of generic training models.

Abstract: Examples are disclosed that relate to a conversation runtime for automating transitions of conversational user interfaces. One example provides a computing system comprising a logic subsystem and a data-holding subsystem. The data-holding subsystem comprises instructions executable by the logic subsystem to execute a conversation runtime configured to receive one or more agent definitions for a conversation robot program, each agent definition defining a state machine including a plurality of states, detect a conversation trigger condition, select an agent definition for a conversation based on the conversation trigger condition, and execute a conversation dialog with a client computing system using the agent definition selected for the conversation and automatically transition the state machine between different states of the plurality of states during execution of the conversation dialog.

Abstract: One disclosed example provides a computing system configured to receive input defining a machine conversation dialog flow, display in an editing user interface a first representation of the machine conversation dialog flow in the form of a symbolic representation, receive input requesting display of a second representation of the machine conversation dialog flow, and in response to the request display in the editing user interface the machine conversation dialog flow in the character-based representation. The computing system is further configured to, based upon the machine conversation dialog flow, update a machine conversation schema template to form an updated machine conversation schema, and form an agent definition file based upon the updated machine conversation schema for use in executing the machine conversation dialog flow.

Abstract: A local feedback mechanism for customizing training models based on user data and directed user feedback is provided in speech recognition applications. The feedback data is filtered at different levels to address privacy concerns for local storage and for submittal to a system developer for enhancement of generic training models.

Abstract: The present disclosure describes an exemplary hybrid client/server architecture that may be utilized leverage the unique capabilities of both remote and local services. Data may be processed in parallel by remote and local processes. Results generated during the parallel processing may be exchanged between remote and local services and used to update results generated by the separate services. The hybrid client/server architecture may be utilized to generate enhanced inferences, hybrid subscriptions base upon local and remote subscriptions, and enhance natural language expression evaluation services.

Abstract: A local feedback mechanism for customizing training models based on user data and directed user feedback is provided in speech recognition applications. The feedback data is filtered at different levels to address privacy concerns for local storage and for submittal to a system developer for enhancement of generic training models.

Abstract: A local feedback mechanism for customizing training models based on user data and directed user feedback is provided in speech recognition applications. The feedback data is filtered at different levels to address privacy concerns for local storage and for submittal to a system developer for enhancement of generic training models.