Hi , in my training data I have following intentent where I want to also extract username entity [username%20intent] When I test my nlu model with exactly the string from my training data I get the entity extracted [train1] however if I just change the name I don’t have the entity extracted [train2]

You are using ner_crf to extract custom entity username. It won’t be able to capture all of the new names. Based on the story sometimes it will but if you have similar stories, it won’t perform well. Try using Spacy’s pre-trained PERSON entity, you will be able to capture more names this way. However, It is very difficult to extract person names as there can be millions.

Sorry thanks, for a while I worked on smth else. I read documentation about entity extraction. In my config.yml file. Can I add new_spacy into pipieline ? Can I have both ner_spacy and ner_crt in my pipeline at the same time ?

Yes, you can have both of them in the same pipeline. Just add them to your config.yml file and you can use it.

Try this: [image] Providing conversation context to the NLU using microservices Tutorials, Resources & Videos OVERCOMING LIMITATIONS OF CONTEXT-INDEPENDENT RASA NLU SERVER English, especially in its American variety, is a language whose words tend to be highly ambiguous in their meaning. It has multiple words that can simultaneously be nouns, verbs and adjective (e.g. access, hit, cool). Names, both personal and entity, such as business, represent a similar problem. Unlike other languages, where specialized words are used for first (given) names and even for last names (surnames), in English (once a…

Problem with entity extraction

Rasa Open Source

lgrinberg (Leo@Vocinity) February 6, 2019, 9:17pm 5

Try this:

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Problem with entity extraction

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