[image] NLU Training Data Read more about how to format training data with Rasa NLU for open source natural language processing. I was going through Entities Roles and Groups i could see the the output identifying roles like below “text”: “Book a flight from Berlin to SF”, “intent”: “book_flight”, “entities”: [ { “start”: 19, “end”: 25, “value”: “Berlin”, “entity”: “city”, “role”: “departure”, “extractor”: “DIETClassifier”, }, { “start”: 29, “end”: 31, “value”: “San Francisco”, “entity”: “city”, “role”: “destination”, “extractor”: “DIETClassifier”, } ] } what kind of model is being used to identify role , since the same word has two tags city and destination. are they training two entity models to get this output

hi @AviPaul! Essentially it’s the same model (a CRF) which does the entity extraction in the first place, it’s just a second CRF which is integrated into the DIET architecture. You can also learn more from Tanja’s post here

What model is being used in RASA to identify role and group in rasa entity extraction

Rasa Open Source

AviPaul (Avinash Paul) July 3, 2020, 5:26am 3

thank you @amn41 will go through the link

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What model is being used in RASA to identify role and group in rasa entity extraction

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