Systems and methods for intelligently configuring and deploying a machine learning-based dialogue system

Abstract

A system and method for intelligently configuring a machine learning-based dialogue system includes a conversational deficiency assessment of a target dialog system, wherein implementing the conversational deficiency assessment includes: (i) identifying distinct corpora of mishandled utterances based on an assessment of the distinct corpora of dialogue data; (ii) identifying candidate corpus of mishandled utterances from the distinct corpora of mishandled utterances as suitable candidates for building new dialogue competencies for the target dialogue system if candidate metrics of the candidate corpus of mishandled utterances satisfy a candidate threshold; building the new dialogue competencies for the target dialogue system for each of the candidate corpus of mishandled utterances having candidate metrics that satisfy the candidate threshold; and configuring a dialogue system control structure for the target dialogue system based on the new dialogue competencies, wherein the dialogue system control structure governs an operation of an automated dialogue agent.

What is claimed: 
     
         1 . A method comprising:
 implementing, by a machine learning-based dialogue service, a conversational deficiency assessment of a target dialog system of a subscriber to the machine learning-based dialog service,   wherein implementing the conversational deficiency assessment includes:
 (i) identifying one or more distinct corpora of mishandled utterances based on an assessment of the one or more distinct corpora of dialogue data; 
 (ii) identifying one or more candidate corpus of mishandled utterances from the one or more distinct corpora of mishandled utterances as one or more suitable candidates for building one or more new dialogue competencies for the target dialogue system if one or more candidate metrics of the one or more candidate corpus of mishandled utterances satisfy a candidate threshold; and 
   building the one or more new dialogue competencies for the target dialogue system for each of the one or more candidate corpus of mishandled utterances having candidate metrics that satisfy the candidate threshold.   
     
     
         18 . A system comprising:
 a machine learning-based dialogue system that performs a conversational deficiency assessment of a target dialog system of a subscriber to the machine learning-based dialog system,   wherein implementing the conversational deficiency assessment includes:
 (i) identifying one or more distinct corpora of mishandled utterances based on an assessment of the one or more distinct corpora of dialogue data; 
 (ii) identifying one or more candidate corpus of mishandled utterances from the one or more distinct corpora of mishandled utterances as one or more suitable candidates for building one or more new dialogue competencies for the target dialogue system if one or more candidate metrics of the one or more candidate corpus of mishandled utterances satisfy a candidate threshold; and 
   wherein the machine learning-based system builds the one or more new dialogue competencies for the target dialogue system for each of the one or more candidate corpus of mishandled utterances having candidate metrics that satisfy the candidate threshold.