Systems and methods for natural language processing using a plurality of natural language models

A virtual assistant server comprising:

• one or more processors;
• and
• a memory coupled to the one or more processors which are configured to execute programmed instructions stored in the memory to:
• execute a first subset of nodes of a dialog flow during a conversation with a user device, wherein one or more identifiers of one or more sub-intents to be associated with the first subset of nodes are obtained from an enterprise device, wherein the one or more sub-intents are different from an intent of the dialog flow;
• receive from the user device, an utterance during the execution of the first subset of nodes;
• and
• interpret the utterance using one or more language models associated with the one or more sub-intents associated with the first subset of nodes.

A non-transitory computer-readable medium storing instructions which when executed by one or more processors, causes the one or more processors to:

• execute a first subset of nodes of a dialog flow during a conversation with a user device, wherein one or more identifiers of one or more sub-intents to be associated with the first subset of nodes are obtained from an enterprise device, wherein the one or more sub-intents are different from an intent of the dialog flow;
• receive from the user device, an utterance during the execution of the first subset of nodes;
• and
• interpret the utterance using one or more language models associated with the one or more sub-intents associated with the first subset of nodes.