we have given (id) as a value of entity and trained the bot. but while parsing the sentence by nlu , it is giving (i d) as the value of that entity. plz look into this .
@juste_petr @akelad
Hi @MohitSinghCS that’s odd. Could you give us some more information, like which pipeline and which rasa version you’re using?
rasa version : 1.2.2
pipeline -> language: en
pipeline:
-
name: “SpacyNLP”
-
name: “SpacyTokenizer”
-
name: “SpacyFeaturizer”
-
name: “RegexFeaturizer”
-
name: “EntitySynonymMapper”
-
name: “SklearnIntentClassifier”
-
name: “CRFEntityExtractor”
policies:
-
name: MemoizationPolicy
-
name: KerasPolicy
-
name: MappingPolicy
Hmm, not sure what’s going on - could be something to do with the way the spacytokenizer works
used whitespace tokenizer and got the desired results. thanks