Hi, I have very domain specific entities that are not well recognized in my model. So, I am trying to improve the accuracy of entity recognition by adding lookup tables. But I don’t see any improvement. Currently, I’m using DIET classifier and based on this post “Entity lookup in DIET Classifier” we can use lookup tables with DIET model as long as “RegexFeaturizer” is provided in the pipeline. I also added more training data with the same entity in my nlu data. But still I don’t see any changes. The other thing that I tried was adding “CRFEntityExtractor” which I’m not sure if it is a good idea or not, but still it didn’t help. Can you share your experience that what possibly could be the solution?
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