@PaulB @vipashadhiman11 right now I’m using this pipeline. Also, make sure you have enough examples from the lookup table in your training dataset.
language: en
pipeline:
- name: ConveRTTokenizer
- name: ConveRTFeaturizer
- name: RegexFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CRFEntityExtractor
# added new
- name: CountVectorsFeaturizer
- name: CountVectorsFeaturizer
analyzer: "char_wb"
min_ngram: 1
max_ngram: 4
- name: DIETClassifier
epochs: 50
entity_recognition: False
- name: EntitySynonymMapper
- name: ResponseSelector
epochs: 100