👋 Introducing the Rasa Playground

Entity email extractor

post by meksikann on Nov 1, 2018

Hey guys. Is there predefined email entity extractor in pipeline? Or shell I teach nlu to find the entity? I am using rasa-core 0.11 here is nlu pipeline:

language: "en"

pipeline:
  - name: "nlp_spacy"
  - name: "tokenizer_spacy"
  - name: "intent_featurizer_spacy"
  - name: "intent_classifier_sklearn"
  - name: "ner_crf"
  - name: "ner_synonyms"
  - name: "ner_duckling_http"
    url: "http://0.0.0.0:8000"
    dimensions: ["time", "duration"]

thanks:)

post by Neofita on Nov 1, 2018

I am not an expert, however, from this demo GitHub - RasaHQ/rasa-demo: An example of a cool Rasa bot in domain you must have this

• enter_data: {use_entities: false}

You need to create an action

voir action_store_email

and a story rasa-demo/chitchat.md at master · RasaHQ/rasa-demo · GitHub

• signup_newsletter
• utter_great
• utter_ask_email
• enter_data{"email": " maxmeier@firma.de"} OR enter_data{"number":"1"}
• action_store_email
• slot{"email": " maxmeier@firma.de"}

post by meksikann on Nov 2, 2018

pipeline:

• name: “nlp_spacy”
• name: “tokenizer_spacy”
• name: “intent_featurizer_spacy”
• name: “intent_classifier_sklearn”
• name: “ner_crf”
• name: “ner_synonyms”
• name: “ner_duckling_http” url: “ http://0.0.0.0:8000” dimensions: [“time”, “duration”, “email”]

used “email” in duckling config. seems it worked:)