However, when I train and run the bot, the two slots keep on getting mixed up.
When I invoke the account balance intent, the bot asks me to provide an account number. When I enter an eight digit number, the bot identified it as loan_amount with loan intent.
Similarly, sometime for loan intent, when I try to enter an eight digit number for loan amount, it gets mixed up for account number.
Hi there @anurag, if you have the same entity value (1000000) annotated as multiple entity types (account number, loan amount), unfortunately you’ll need a lot more examples in your nlu data for the pipeline to learn the difference, as it then only has the context of the sentence and none of the entity itself to learn off of.
Hi again.
We tried adding more training examples in nlu but the result is still the same. We now have about 150 training examples for each intent.
Is this a good number or we need more. How many do you think will help?