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

A method for intelligently configuring a machine learning-based dialogue system, the 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;
• 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, wherein building the one or more new dialogue competencies for the target dialogue system includes:
• setting one or more machine learning models that are untrained for each of the one or more new dialogue competencies;
• once the one or more machine learning models are trained, each of the one or more new dialogue competencies of the target dialogue system performs one or more dialogue intent classification tasks using the one or more machine learning models for predicting one or more dialogue intents of a user involved in a conversation with an automated dialogue agent of the target dialogue system of the subscriber;
• and
• configuring a dialogue system control structure for the target dialogue system based on the one or more new dialogue competencies, wherein the dialogue system control structure governs an operation of an automated dialogue agent of the target dialogue system of the subscriber.

A method for intelligently configuring a machine learning-based dialogue system, the 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;
• 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, wherein building the one or more new dialogue competencies for the target dialogue system includes:
• setting one or more machine learning models that are untrained for each of the one or more new dialogue competencies;
• constructing a corpus of training data for training one or more machine learning models defining a target new dialogue competency of the one or more new dialogue competencies of the target dialogue system, wherein constructing the corpus of training data includes sourcing training data from one or more distinct sources of machine learning training data based on attributes of mishandled utterance data within a target corpus of mishandled utterances of the one or more distinct corpora of mishandled utterances;
• and
• training the one or more machine learning models using training samples from the corpus of training data;
• configuring a dialogue system control structure for the target dialogue system based on the one or more new dialogue competencies, wherein the dialogue system control structure governs an operation of an automated dialogue agent of the target dialogue system of the subscriber.