Lookup table not working after training the model in rasa

Question

I am new to rasa. I am training a model to recognize certain entities using lookup tables. I have multiple entities in the single sentence and I am trying to extract them.

nlu.yml

version: "2.0"
nlu:
- intent: intent_1
  examples : |
    - how many deaths were there last year in [Ohio](Filter-State)?
    - death count of [Florida](Filter-State) this year
    - death count of [Texas](Filter-State) this year
    - what's the death count for this quarter in [CA](Filter-State)?
- lookup: Filter-State
  examples: |
    - Alabama
    - AL
    - Alaska
    - AK
    - Arizona
    - AZ
    - Arkansas
    - AR
    - California
    - CA
    - Colorado
    - CO
    - Connecticut
    - CT
    - Delaware
    - DE
    - District of Columbia
    - DC
    - Florida
    - FL
    - Georgia
    - GA

config.yml

language: en
pipeline:
  - name: WhitespaceTokenizer
  - name: RegexFeaturizer
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: "char_wb"
    min_ngram: 1
    max_ngram: 4
  - name: DIETClassifier
    epochs: 150
    random_seed: 1
  - name: FallbackClassifier
    threshold: 0.7
  - name: DucklingEntityExtractor
    url: http://duckling.rasa.com:8000
    dimensions:
    - email
    - time
  - name: EntitySynonymMapper
policies:
  - name: AugmentedMemoizationPolicy
    max_history: 4
  - name: TEDPolicy
    max_history: 4
    epochs: 100
  - name: RulePolicy
    core_fallback_threshold: 0.4
    core_fallback_action_name: "action_default_fallback"
    enable_fallback_prediction: True

When I train the model and try using the api, It doesn't recognize cases from the states in the lookup table and as a result can't assign it to slot filter_state.

Can anyone advise me as to what am I doing wrong here for making the lookup table work!

question from:https://stackoverflow.com/questions/65622756/lookup-table-not-working-after-training-the-model-in-rasa

Answer 1

Could you, please, post on the Rasa forum and include more details of your setup? In particular, what version of Rasa Open Source are you using? Is the above your complete NLU data? (I think that you need at least 2 intents for an intent classifier to train.) I also recommend that you test the system using rasa interactive --debug and share e.g. a screenshot, this will help everyone see the exact input message and how it gets processed by Rasa. I'm sure we'll trace the issue down to its roots :-)