Hi all…I’m using rasa for my chat bot developement and i’m using DIET classifier in the pipeline, i have a usecase to add lookup tables foi specific entities and lookup tables work on CRFextractor and i’m using DIET Classifier. My question is, is there a way we can add lookup tables for DIET classifier
I saw some messages about that. Are lookup tables really not working with DIET?
What is not working? I didn’t find opened issue on the github. I looked quickly at the code, the regex seems to do the featurization job also for DIET?
No my question is when using CRF extractor we have to add ner_crf in pipeline to add lookup tables for entity extraction, but now i’m using DIET classifier instead of CRF in my pipeline , so my question is can i use lookup table for entity extraction using DIET classifier in my pipeline or should i add any config on my pipeline
There is nothing to add by default. Just be sure you have RegexFeaturizer in your pipeline
@Tanja @akelad @souvikg10 Could you pls confirm if lookup tables can be used with DIET? If yes then how?. Because I have followed everything from the rasa blog on Look Up tables but still it does not recognize any new entity outside of the training data, even if that entity is in the look up table. If i have to add training data for each and every entity, then what is the use of look up table.
any updates on this?