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Implement support for RASA NLU Engine #11

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ralphg6 opened this issue Jan 20, 2020 · 4 comments
Open

Implement support for RASA NLU Engine #11

ralphg6 opened this issue Jan 20, 2020 · 4 comments
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enhancement New feature or request
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@ralphg6
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ralphg6 commented Jan 20, 2020

This issue is a child of #10

@ralphg6 ralphg6 added the enhancement New feature or request label Jan 20, 2020
@ralphg6 ralphg6 modified the milestones: 0.0.1-alpha, 1.0.0 Feb 5, 2020
@ralphg6 ralphg6 added this to the 0.2.0 milestone Feb 14, 2020
@arthurTemporim
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@ralphg6 the objective of this issue is to import each Rasa NLU component?
Without the need of building a David component with rasa behavior?

@arthurTemporim
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Maybe the issue #39 (RASA adapter) is needed to be done before this one 🤔

@ralphg6
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ralphg6 commented Feb 21, 2020

@arthurTemporim I think we can to build a Rasa NLU component to proxy Rasa Components.

For example, the config can will be:

pipeline:
  - name: nlu_rasa
    config:
      language: en
      pipeline:
          - name: "SpacyNLP"
          - name: "SpacyTokenizer"
          - name: "SpacyFeaturizer"
          - name: "RegexFeaturizer"
          - name: "EntitySynonymMapper"
          - name: "SklearnIntentClassifier"

@ralphg6
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ralphg6 commented Feb 21, 2020

Maybe the issue #39 (RASA adapter) is needed to be done before this one thinking

Yes! And #15 too.

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