Conversational agent
A method, system, and computer program product provide a conversation agent to process natural language queries expressed by a user and perform commands according to the derived intention of the user. A natural language processing (NLP) engine derives intent using conditional random fields to identify a domain and at least one task embodied in the query. The NLP may further identify one or more subdomains, and one or more entities related to the identified command. A template system creates a data structure for information relevant to the derived intent and passes a template to a services manager for interfacing with one or more services capable of accomplishing the task. A dialogue manager may elicit more entities from the user if required by the services manager and otherwise engage in conversation with the user. In one embodiment, the conversational agent allows a user to engage in multiple conversations simultaneously.
1. A computing device comprising one or more processors and one or more storage devices storing instructions that, when executed by the one or more processors, cause the computing device to:
receive a user query;
derive, using a natural language processor (NLP), a user intent from the user query, wherein the user intent relates to a command to be executed by the computing device;
extract from the user query, using the NLP, an entity associated with the command;
identify, using the NLP, a domain that is associated with the command;
execute the command, wherein the command is configured to direct the computing device to carry out at least one function; and
generate output of a result of the command.
2. The computing device of claim 1 , wherein the instructions further cause the computing device to:
select, by the NLP, at least one conditional random field (CRF) in response to the domain.
3. The computing device of claim 2 , wherein the instructions further cause the computing device to:
store at least one optimized feature set associated with the domain, the at least one CRF configured to access the at least one feature set.
4. The computing device of claim 1 , wherein the user query is associated with a plurality of commands and the instructions further cause the computing device to:
assign a priority level to each of the plurality of commands;
execute each of the plurality of commands according to the assigned priority level;
assign a pending status to each of the plurality of commands until completed; and
generate output indicating the pending status for each of the plurality of commands.
5. The computing device of claim 1 , wherein the instructions further cause the computing device to:
identify at least one dialogue response to the user query.
6. The computing device of claim 5 , wherein the instructions further cause the computing device to:
format an output comprising the at least one dialogue response.
7. The computing device of claim 6 , wherein the instructions further cause the computing device to:
format the at least one dialogue response in a conversational manner.
8. The computing device of claim 5 , wherein the instructions further cause the computing device to:
create, by the NLP, a list of candidate interpretations of the user query; and
present the at least one dialogue response in the list of candidate interpretations.
9. The computing device of claim 6 , wherein the instructions further cause the computing device to:
identify at least one unfilled entity relating to the user intent; and
generate the at least one dialogue response comprising a prompt to obtain the at least one unfilled entity.
10. A method of processing a user query performed by a computing device, the method comprising:
receiving a user query from an input device;
deriving, using a natural language processing (NLP) engine, a user intent from the user query by:
identifying a domain associated with the user query; and
extracting a parameter associated with a command from the user query;
sending a request, wherein the request comprises the command and the parameter;
receiving a response to the request comprising a result of executing the command based on the parameter; and
causing an output of the result.
11. The method of claim 10 , wherein the input device is a microphone.
12. The method of claim 10 , wherein deriving the user intent from the user query further comprises:
identifying a subgroup associated with the user query.
13. The method of claim 10 , wherein the parameter comprises multiple parameters.
14. The method of claim 10 , wherein deriving the user intent from the user query further comprises:
identifying at least one service capable of satisfying the user intent.
15. The method of claim 10 , further comprising:
identifying at least one dialogue response to the user query.
16. The method of claim 10 , further comprising:
identifying at least one unfilled entity relating to the command; and
generating at least one dialogue response comprising a prompt to obtain the at least one unfilled entity.
17. A computer storage device storing computer-executable instructions that when executed by a processor cause the processor to:
receive a user query;
identify, using a natural language processor (NLP), a category that relates to the user query;
extract, using the NLP, a parameter associated with a command from the user query;
derive, by the NLP, a user intent from the user query based on at least the category, the command, and the parameter;
build a template to request a service associated with the domain to execute the command, wherein the template includes the parameter; and
cause an output of at least one result of the executed command.
18. The computer storage device of claim 17 , the computer-executable instructions further causing the processor to:
identify at least one dialogue response to the user query.
19. The computer storage device of claim 18 , wherein the dialogue response requests information about the domain.
20. The computer storage device of claim 19 , the computer-executable instructions further causing the processor to:
extract the service from the user query.