Let’s assume the model predicts the following for an input sequence.
How do you pick the best candidate for creation date from logist values?
Can you clarify what you want to achieve? What do you mean by candidate here?
I am trying to extract the best date candidate here, but there are multiple date candidates here,
27 Aug 2020 and
01-09-2020. What is the best was way to aggregate confidence scores across for the candidate
2020. Should I take average confidence scores for the split tokens (
2020) and compare against
01-09-2020 to decide which is the best candidate for creation date?
A classification model will not help you for that. It was not trained to answer this kind of question.
Maybe you need a syntactic parser to tell which date is associated with “The creation date”?