As I stated in my question, I would like to know the underlying pipeline and machine learning models that are used to classify intents and identify entities in IBM Watson Assistant and Microsoft LUIS services.
I searched on different websites and the documentations of those services, but I did not find anything. However, there are some blogs mentioned that IBM Watson is trained using one billion words from Wikipedia but there is no reference to support that claim.
I highly appreciate if anyone could refer me to a doc/blog that answers my question.
Thanks in advance :)