Hello, I’m building a test bot using rasa nlu and core capabilities where in it captures two entities and summarize the entity values that were captured. For this, I had around 2000 examples for 9 intents and 2 entities and tried with both ‘spacy_sklearn’ and ‘tensorflow_embedding’ pipelines. There is a problem while detecting entities for a value that is not present in the training dataset. For example, Below is the intent where I detect ‘name’ as the entity. ## intent:name - My name is Alice , - I am Josh , - I’m Lucy , - People call me Greg , - It’s David , - name is Johny , - John is my name, - lucy is my name Entities aren’t getting detected if I give any other name apart from the above trained sample. Failed utterances: ‘Kumar is my name’, ‘I am Rocky’ etc. This suggests that entity detection is merely a string check or rule based check on the trained examples. Could you please suggest any way to extract entities accurately. Regards, Swamy

Issue with entity detection - fails to detect outside of the training set

lgrinberg (Leo@Vocinity) February 6, 2019, 9:14pm 5

For names try a combination of a lookup table, some minimal training data and what we suggest here:

That should work well. Please don’t hesitate to ask if you need any more help with this. We were fighting this problem for a while but think we found the solution.

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Issue with entity detection - fails to detect outside of the training set

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