Systems and methods of generating responses associated with natural language input
Systems and methods of generating responses associated with natural language input. A system includes a communication module, a processor, and a memory. The memory stores instructions that, when executed, configure the processor to: transmit, to a conversation agent server, a natural language input and receive, from the conversation agent server, an intent and at least one parameter. The processor generates, based on the intent and the at least one parameter, a fulfillment query requesting access to personal data for generating a response to the natural language input, where the personal data is stored on a fulfillment server. The processor transmits the fulfillment query and receives a response indication from the fulfillment server. The processor generates a request for subsequent input, generates an updated conversation context based on the response indication and the intent, and transmits to the conversation agent server, the updated conversation context.
1. A computing device comprising:
a communication module;
a processor coupled to the communication module; and
a memory coupled to the processor, the memory storing instructions that, when executed, configure the processor to:
transmit, to a conversation agent server, a natural language input;
receive, from the conversation agent server, an intent and at least one parameter, wherein the intent and the at least one parameter are based on the natural language input, and wherein identification by the conversation agent server of the intent from the natural language input is syntax agnostic;
generate, based on the intent and the at least one parameter, a fulfillment query requesting access to personal data for generating a response to the natural language input, wherein the personal data is stored on a fulfillment server;
transmit, to the fulfillment server, the fulfillment query;
receive, from the fulfillment server, a response indication associated with the fulfillment query;
generate a request for subsequent input based on the response indication;
generate an updated conversation context based on the response indication and the intent; and
transmit, to the conversation agent server, the updated conversation context for setting up operations to handle the subsequent input.
2. The computing device of claim 1 , wherein the natural language input is associated with a user identifier, and wherein the natural language input includes a query on personal data of a data record corresponding to the user identifier.
3. The computing device of claim 2 , wherein the response indication includes the personal data associated with the user identifier.
4. The computing device of claim 1 , wherein the generated fulfillment query corroborates the at least one parameter.
5. The computing device of claim 1 , wherein the instructions, when executed, further cause the processor to:
determine that the received at least one parameter includes information to conduct an action associated with the intent; and
transmit, to the fulfillment server, an action request associated with the natural language input.
6. The computing device of claim 1 , wherein the generated request for subsequent input includes a message prompt for display by the computing device.
7. The computing device of claim 1 , wherein the natural language input includes an acoustic input, and wherein the instructions, when executed, further cause the processor to conduct speech-to-text operations to provide a text-based natural language input.
8. The computing device of claim 1 , wherein the natural language input includes text-based input received via an input module of the computing device.
9. The computing device of claim 1 , wherein the instructions, when executed, further configure the processor to:
receive the subsequent input; and
subsequent to transmitting, to the conversation agent server, the updated conversation context for setting up operations to handle the subsequent input, transmit the subsequent input to the conversation agent server.
10. The computing device of claim 1 , wherein the subsequent input includes natural language input.
11. A computer-implemented method of generating a response associated with a natural language input, the method comprising:
transmitting, to a conversation agent server, the natural language input;
receiving, from the conversation agent server, an intent and at least one parameter, wherein the intent and the at least one parameter are based on the natural language input, and wherein identification by the conversation agent server of the intent from the natural language input is syntax agnostic;
generating, based on the intent and the at least one parameter, a fulfillment query requesting access to personal data for generating a response to the natural language input, wherein the personal data is stored on a fulfillment server;
transmitting, to the fulfillment server, the fulfillment query;
receiving, from the fulfillment server, a response indication associated with the fulfillment query;
generating a request for subsequent input based on the response indication;
generating an updated conversation context based on the response indication and the intent; and
transmitting, to the conversation agent server, the updated conversation context for setting up operations to handle the subsequent input.
12. The method of claim 11 , wherein the natural language input is associated with a user identifier, and wherein the natural language input includes a query on personal data of a data record corresponding to the user identifier.
13. The method of claim 12 , wherein the response indication includes the personal data associated with the user identifier.
14. The method of claim 11 , wherein the generated fulfillment query corroborates the at least one parameter.
15. The method of claim 11 , further comprising:
determining that the received at least one parameter includes information to conduct an action associated with the intent; and
transmitting, to the fulfillment server, an action request associated with the natural language input.
16. The method of claim 11 , wherein the generated request for subsequent input includes a message prompt for display by a computing device.
17. The method of claim 11 , wherein the natural language input includes an acoustic input, and wherein the method further comprises conducting speech-to-text operations to provide a text-based natural language input.
18. The method of claim 11 , wherein the natural language input includes text-based input received via an input module of a computing device.
19. The method of claim 11 , further comprising:
receiving the subsequent input; and
subsequent to transmitting, to the conversation agent server, the updated conversation context for setting up operations to handle the subsequent input, transmitting the subsequent input to the conversation agent server.
20. A non-transitory computer-readable storage medium storing instructions of generating a response associated with a natural language input, the instructions, when executed by a processor of a computing device, cause the computing device to:
transmit, to a conversation agent server, the natural language input;
receive, from the conversation agent server, an intent and at least one parameter, wherein the intent and the at least one parameter are based on the natural language input, and wherein identification by the conversation agent server of the intent from the natural language input is syntax agnostic;
generate, based on the intent and the at least one parameter, a fulfillment query requesting access to personal data for generating a response to the natural language input, wherein the personal data is stored on a fulfillment server;
transmit, to the fulfillment server, the fulfillment query;
receive, from the fulfillment server, a response indication associated with the fulfillment query;
generate a request for subsequent input based on the response indication;
generate an updated conversation context based on the response indication and the intent; and
transmit, to the conversation agent server, the updated conversation context for setting up operations to handle the subsequent input.