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Am I right in thinking that this ticket isn't about implementing a specific ML solution but essentially improving the training data we have via a feedback system. We could use the NLP to determine if the questions are and answers are unique.
In order to start start utilising the power of machine learning I'd like to implement something such as the following.
All incoming questions to the NLU are stored along with their returned values from the NLU.
From this information the user can quickly select if the question and the outcome are correct.
Ideally this sort of information can be added automatically however this would still require some sort of feedback being given from a human.
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