Abstract: Techniques are described related to for generating/distributing state machines that are implemented within a security zone to obtain private information from one or more resources within the security zone. In various implementations, an automated assistant client implemented by processor(s) within the security zone may receive a free form natural language query (“FFNLQ”) that is answerable using private information available from resource(s) within the security zone. Data indicative of the FFNLQ may be provided to a semantic processor outside of the security zone, and the online semantic processor may return a state machine that is implemented by processor(s) within the security zone to obtain the private information from resource(s) within the security zone. Based on the state machine and the obtained private information, natural language output may be generated and presented to convey information responsive to the FFNLQ.

Abstract: Techniques are described related to for generating/distributing state machines that are implemented within a security zone to obtain private information from one or more resources within the security zone. In various implementations, an automated assistant client implemented by processor(s) within the security zone may receive a free form natural language query (“FFNLQ”) that is answerable using private information available from resource(s) within the security zone. Data indicative of the FFNLQ may be provided to a semantic processor outside of the security zone, and the online semantic processor may return a state machine that is implemented by processor(s) within the security zone to obtain the private information from resource(s) within the security zone. Based on the state machine and the obtained private information, natural language output may be generated and presented to convey information responsive to the FFNLQ.

Abstract: Techniques are described related to for generating/distributing state machines that are implemented within a security zone to obtain private information from one or more resources within the security zone. In various implementations, an automated assistant client implemented by processor(s) within the security zone may receive a free form natural language query (“FFNLQ”) that is answerable using private information available from resource(s) within the security zone. Data indicative of the FFNLQ may be provided to a semantic processor outside of the security zone, and the online semantic processor may return a state machine that is implemented by processor(s) within the security zone to obtain the private information from resource(s) within the security zone. Based on the state machine and the obtained private information, natural language output may be generated and presented to convey information responsive to the FFNLQ.

Abstract: Techniques are described related to for generating/distributing state machines that are implemented within a security zone to obtain private information from one or more resources within the security zone. In various implementations, an automated assistant client implemented by processor(s) within the security zone may receive a free form natural language query (“FFNLQ”) that is answerable using private information available from resource(s) within the security zone. Data indicative of the FFNLQ may be provided to a semantic processor outside of the security zone, and the online semantic processor may return a state machine that is implemented by processor(s) within the security zone to obtain the private information from resource(s) within the security zone. Based on the state machine and the obtained private information, natural language output may be generated and presented to convey information responsive to the FFNLQ.