During training, the input to this network is the representation of a conversation (either contentbased or structure-based), and the ground truth is a one-hot vector of the bot that handled this conversation.
in addition, if the bot was annotated as not-production, the experts had to provide a list of reasons for their choice (e.g., repeating users ids, repeating bot response, etc.).