Contextual natural language input processing in enterprise applications based on static and dynamic application parameters

A system comprising:

• at least one programmable processor;
• and
• a machine-readable medium storing instructions that, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising:
• executing, by a natural language processor, a pre-processing parameter setup of a software application configured to receive at least one input instruction from a user, the pre-processing including:
• setting at least one static application parameter corresponding to at least one static action defined by the software application and executed by the natural language processor in response to at least one input instruction by the user;
• and
• setting at least one dynamic application parameter corresponding to at least one dynamic action executed by the natural language processor retrieved from at least one stored data model upon the software application generating a predetermined graphical user interface view for the user that is dependent upon the at least one input instruction received from the user;
• receiving, by the natural language processor, the at least one input instruction from the user, the at least one input instruction having a context;
• converting, by the natural language processor, the at least one input instruction for the software application to a predetermined format associated with the software application;
• assigning, by the natural language processor, one or more tokens to one or more portions of the at least one converted input instruction, each token of the one or more tokens corresponding to at least one of the at least one static application parameter and the at least one dynamic application parameter;
• classifying, by the natural language processor, each of the tokens of the converted input instruction based on the context of the at least one input instruction to generate a tokenized context of the converted input instruction;
• comparing, by the natural language processor, the tokenized context of the converted input instruction to at least one transaction of a plurality of transactions associated with, and executed by the software application;
• selecting, based on the comparing, the at least one transaction configured to be executed by the software application in response to matching of the tokenized context of the converted input instruction and the at least one transaction;
• and
• executing, by the software application, the at least one selected transaction.

A computer program product comprising a non-transitory machine-readable medium storing instructions that, when executed by at least one programmable processor, cause the at least one programmable processor to perform operations comprising:

• executing, by a natural language processor, a pre-processing parameter setup of a software application configured to receive at least one input instruction from a user, the pre-processing including:
• setting at least one static application parameter corresponding to at least one static action defined by the software application and executed by the natural language processor in response to at least one input instruction by the user;
• and
• setting at least one dynamic application parameter corresponding to at least one dynamic action executed by the natural language processor retrieved from at least one stored data model upon the software application generating a predetermined graphical user interface view for the user that is dependent upon the at least one input instruction received from the user;
• receiving, by the natural language processor, the at least one input instruction from the user, the at least one input instruction having a context;
• converting, by the natural language processor, the at least one input instruction for the software application to a predetermined format associated with the software application;
• assigning, by the natural language processor, one or more tokens to one or more portions of the at least one converted input instruction, each token of the one or more tokens corresponding to at least one of the at least one static application parameter and the at least one dynamic application parameter;
• classifying, by the natural language processor, each of the tokens of the converted input instruction based on the context of the at least one input instruction to generate a tokenized context of the converted input instruction;
• comparing, by the natural language processor, the tokenized context of the converted input instruction to at least one transaction of a plurality of transactions associated with, and executed by the software application;
• selecting, based on the comparing, the at least one transaction configured to be executed by the software application in response to matching of the tokenized context of the converted input instruction and the at least one transaction;
• and
• executing, by the software application, the at least one selected transaction.