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Intent Miss-classification with number intent
Describe the bug I am having a problem with the new NLU pipeline,
Numbers are misclassified when tested alone. previously it was working fine.
Old NLU Pipeline
pipeline:
- name: WhitespaceTokenizer
- name: CountVectorsFeaturizer
- name: EmbeddingIntentClassifier
- BILOU_flag: true
name: CRFEntityExtractor
features:
- [low, title, upper]
- [low, bias, prefix5, prefix2, suffix5, suffix3, suffix2, upper, title, digit, pattern]
- [low, title, upper]
- name: rasa_addons.nlu.components.gazette.Gazette
- name: EntitySynonymMapper
Please help me to address this issue. Thanks in advance
What is the expected/previous behavior? If digits only appear under that one intent it's very likely the trained model will do this.
Previously it was classified as none which is correct but Currently it is mapped to the intent that contains number. How may I address this, any workarounds