Xml-roberta in pipeline

Rasa Open Source
1

Has anyone managed to train an NLU pipeline that includes Regex/ entity featurizer component along with XML-Roberta?

If, so I’d like to see the resources that cover this. Thanks.

2

I’ve done that in the past. It’s mainly just adding the featurizer and using DIET though. Are you referring to that or are you referring to something else?

3

So you are able to extract intents and entities together for XML-Roberta in this pipeline?

Could you share the pipeline structure for this please? Also, which RASA version did you employ?

4

I’m assuming you’re asking about a pipeline like this;

pipeline:
  - name: WhitespaceTokenizer
  - name: "RegexFeaturizer"
  - name: CountVectorsFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: char_wb
    min_ngram: 1
    max_ngram: 4
  - name: LanguageModelFeaturizer
    model_name: roberta
    model_weights: roberta-base
  - name: DIETClassifier
    epochs: 100
  - name: RegexEntityExtractor
    case_sensitive: False
    use_lookup_tables: True
5

yes, so did that work for you? Can it catch intents + entities both?