Training a bot orchestrator for chatbots

A system for training a bot orchestrator for chatbot selection, comprising:

• a memory;
• and
• at least one processor coupled to the memory and configured to:
• collect a set of expressions from a training data set of a first chatbot and a training data set of a second chatbot;
• for each pair of expressions in the set of expressions:
• calculate a mathematical distance between an expression for the first chatbot in the respective pair of expressions and an expression for the second chatbot in the respective pair of expressions;
• and
• filter the set of expressions based on the calculated mathematical distances, thereby generating a filtered set of expressions;
• and
• train a machine learning-based classification model of the bot orchestrator using the filtered set of expressions.

A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

• collecting a set of expressions from a training data set of a first chatbot and a training data set of a second chatbot;
• for each pair of expressions in the set of expressions:
• calculating a mathematical distance between an expression for the first chatbot in the respective pair of expressions and an expression for the second chatbot in the respective pair of expressions;
• and
• filtering the set of expressions based on the calculated mathematical distances, thereby generating a filtered set of expressions;
• and
• training a machine learning-based classification model of the bot orchestrator using the filtered set of expressions.