Example-driven machine learning scheme for dialog system engines

A system, comprising:

• a server including at least one processor and a memory storing processor-executable codes, the server being configured to:
• maintain a plurality of dialog system rules;
• maintain a knowledge database, wherein the knowledge database includes a plurality of intent objects and a plurality of entity objects, wherein the plurality of intent objects and the plurality of entity objects are associated with at least one dialog system rule;
• receive an exemplary phrase;
• retrieve one or more linguistic elements from the exemplary phrase;
• determine that at least one of the linguistic elements is directed to at least one of the plurality of intent objects or the plurality of entity objects;
• and
• add the at least one of the linguistic elements in association with the at least one dialog system rule to the knowledge database.

A non-transitory processor-readable medium having instructions stored thereon, which when executed by one or more processors, cause the one or more processors to implement a method, comprising:

• maintaining a plurality of dialog system rules;
• maintaining a knowledge database, wherein the knowledge database includes a plurality of intent objects and a plurality of entity objects, wherein the plurality of intent objects and the plurality of entity objects are associated with at least one dialog system rule;
• receiving an exemplary phrase;
• retrieving one or more linguistic elements from the exemplary phrase;
• determining that at least one of the linguistic elements is directed to at least one of the plurality of intent objects or the plurality of entity objects;
• and
• adding the at least one of the linguistic elements in association with the at least one dialog system rule to the knowledge database.