Microsoft Corporation
TRAINING MODEL WITH MODEL-PROVIDED CANDIDATE ACTION

Abstract:

A method of training a conversational computing system. The method includes providing an initial query to a machine learning model previously trained to generate actions for responding to a query. Based on the initial query, a plurality of candidate actions are received from the machine learning model and presented via a training interface. Based on input provided by the human annotator, a selected candidate action is recognized and associated with the initial query in a labeled data example.