Methods and apparatus for intent recognition

1. A system comprising:

a computing device configured to:

obtain a first dataset associated with a first domain, wherein the first dataset includes a plurality of first phrase-intent pairs, wherein each first phrase-intent pair includes a first phrase and a corresponding first intent;

retrieve a first set of configuration rules to configure a plurality of environments;

configure a first environment using the first dataset and using the first set of configuration rules to determine a result user intent based on a requested query associated with the first domain, wherein the first environment embeds the plurality of first phrase-intent pairs in a vector space based on the first set of configuration rules;

obtain a second dataset associated with a second domain distinct from the first domain;

configure a second environment using the second dataset and using the first set of configuration rules to determine a second result user intent based on a second requested query associated with the second domain; and

perform at least one operation based at least in part on the first environment or the second environment.

2. The system of claim 1 , wherein the first set of configuration rules include one or more of data processing rules, data embedding rules, and training rules.

3. The system of claim 1 , wherein the second environment embeds a plurality of second phrase-intent pairs in a second vector space based on the first set of configuration rules.

4. The system of claim 1 , wherein the first set of configuration rules includes a plurality of steps to perform in response to receiving a training dataset.

5. The system of claim 1 , wherein the first environment is an intent recognition model.

6. The system of claim 1 , wherein the computing device is further configured to:

receive the requested query via the first domain;

apply the requested query to the first environment to determine the result intent; and

provide for presentation, via a user interface, the result user intent.

7. A method comprising:

obtaining a first dataset associated with a first domain, wherein the first dataset includes a plurality of first phrase-intent pairs, wherein each first phrase-intent pair includes a first phrase and a corresponding first intent;

retrieving a first set of configuration rules to configure a plurality of environments;

configuring a first environment using the first dataset and using the first set of configuration rules to determine a result user intent based on a requested query associated with the first domain, wherein the first environment embeds the plurality of first phrase-intent pairs in a vector space based on the first set of configuration rules;

obtaining a second dataset associated with a second domain distinct from the first domain;

configuring a second environment using the second dataset and using the first set of configuration rules to determine a second result user intent based on a second requested query associated with the second domain; and

performing at least one operation based at least in part on the first environment or the second environment.

8. The method of claim 7 , wherein the first set of configuration rules include one or more of data processing rules, data embedding rules, and training rules.

9. The method of claim 7 , wherein the second environment embeds a plurality of second phrase-intent pairs in a second vector space based on the first set of configuration rules.

10. The method of claim 7 , wherein the first set of configuration rules includes a plurality of steps to perform in response to receiving a training dataset.

11. The method of claim 7 , wherein the first environment is an intent recognition model.

12. The method of claim 7 , the method further comprising:

receiving the requested query via the first domain;

applying the requested query to the first environment to determine the result intent; and

providing for presentation, via a user interface, the result user intent.

13. A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by at least one processor, cause a device to perform operations comprising:

obtaining a first dataset associated with a first domain, wherein the first dataset includes a plurality of first phrase-intent pairs, wherein each first phrase-intent pair includes a first phrase and a corresponding first intent;

retrieving a first set of configuration rules to configure a plurality of environments;

configuring a first environment using the first dataset and using the first set of configuration rules to determine a result user intent based on a requested query associated with the first domain, wherein the first environment embeds the plurality of first phrase-intent pairs in a vector space based on the first set of configuration rules;

obtaining a second dataset associated with a second domain distinct from the first domain;

configuring a second environment using the second dataset and using the first set of configuration rules to determine a second result user intent based on a second requested query associated with the second domain; and

performing at least one operation based at least in part on the first environment or the second environment.

14. The non-transitory computer readable medium of claim 13 , wherein the first set of configuration rules include one or more of data processing rules, data embedding rules, and training rules.

15. The non-transitory computer readable medium of claim 13 , wherein the second environment embeds a plurality of second phrase-intent pairs in a second vector space based on the first set of configuration rules.

16. The non-transitory computer readable medium of claim 13 , wherein the first set of configuration rules includes a plurality of steps to perform in response to receiving a training dataset.

17. The non-transitory computer readable medium of claim 13 , wherein the first environment is an intent recognition model.