I have an intent, with one entity. The entity itself has around 20 possible values and each value has approximately 20 synonyms. Using tensorflow_embedding, I trained the model on ~500 examples and it identifies intent/entity with high confidence if it’s seen the value of the entity in the examples, but otherwise, it misses. Example (below is entity/value/synonyms hierarchy)
spending_category - auto_and_transport -- auto and transport -- auto -- transport - food_and_groceries -- food -- groceries -- food and groceries
If I provide at least one example with each entity value (not necessarily with every synonym), everything works, but if I provide examples with only auto_and_transport values, but not with food_and_groceries, than rasa does not extract correct entity value from the user input, when it has not seen it in the example. Do I miss something?