Finally I found time to test that. The result is more or less the same. I can’t create reliable stories. If I wan’t to react different depending on the entity (or/and slot) value, it does not work.
Additional thoughts:
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The ML seams to ignore that
orderdrink{"drink": "coke"}is a specification andorderdrink(without a concrete entity value) a generalisation. In my eyes the specification should have a stronger impact on the decision. -
Interactive learning is good idea, but to reach my goal I will “train” hundreds of times. A plain decision tree would be way more effective, less time consuming and not as error prone.
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How can that scale, if it does not work with such an easy sample?
I heard so many good comments about RASA CORE. I would be super glad to understand how I can use Rasa Core the right way (or at least that somebody tells me that it is not as cool). Thanks for all input.