Additional experiments related to efficiency of intent classification have been conducted by Casanueva et al. (2020).
we also probe the usefulness of ConveRT encodings for transfer learning in the intent classification task: the model must classify the user's utterance into one of several predefined classes, that is, intents (e.g., within e-banking intents can be card lost or replace card).