Hi ,I am using RASA NLU in my work recently. My subject is to classifiy email on two intents and a lots of entities like name of person, account number, membership number, phone number. I have tried a lot of configuration of pipeline but i couldn’t find the pipeline who succeed to extract these entities… In one email, there is a lot of entities to extract but the result is not concluant… Is there anyone who do the same subject and can give me some tips? Is There an order who is using by NLU to exctract entities because sometimes when i move a word before an other the NLU recognise it and sometimes not… Thank you for helping me

How much training data do you have? E.g. how much examples per entity? It often helps just to add a couple of more examples to the training data. Also if you want to extract number of a certain pattern, I recommend to either use duckling or RegexEntityExtractor . That should help you to extract entities that follow a certain pattern. Also it might be a good idea to switch to DIETClassifier for entity extraction instead of CRFEntityExtractor as it is usually a bit more powerful. So maybe you can try the following config and use the DIETClassifier to extract civilite and the RegexEntityExtractor to extract the phone number, for example. - name: WhitespaceTokenizer - name: LexicalSyntacticFeaturizer - name: CountVectorsFeaturizer - name: CountVectorsFeaturizer analyzer: char_wb min_ngram: 1 max_ngram: 4 - name: DIETClassifier epochs: 100 - name: RegexEntityExtractor - name: EntitySynonymMapper

Email classification

Rasa Open Source

Tanja (Tanja Bunk) October 20, 2020, 9:15am 4

Can you show some of the mistakes your model makes?

Topic		Replies	Views
Entity recognition problem Rasa Open Source	3	1629	October 31, 2018
Recognizing numerical entities in Rasa Rasa Open Source	3	3203	September 21, 2020
Regex not Working for Training Data Rasa Open Source	14	2399	September 9, 2020
Rasa entity role extraction Rasa Open Source	0	196	November 9, 2022
Entity extraction of custom entities -- symptoms Rasa Open Source	7	759	April 16, 2021

Email classification

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