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Hello,
First of all, thank you for a fantastic code release!
I'm wondering how to threshold the results of end-to-end genre model - In the disambiguation model, since probability is given for the single entity being disambiguated, I'm able to get a good filtering with a single value of confidence, i.e 75% probability (by exponentiating the logprob),
But in the case of the end-to-end model I'm not sure how we should filter by confidence. Would it be sufficient to normalize by the number of entities found? Thanks!
The text was updated successfully, but these errors were encountered:
Hello, I'm not sure what you want to do. The probability of the output is of the whole sequence (i.e. both mention detection and entity disambiguation).
Ah I see, from the output of the end-to-end model, I was hoping to threshold the entity disambiguation probability by some value like 75%, so that I can keep only the disambiguation results that the model is confident about - would this be possible?
Hello,
First of all, thank you for a fantastic code release!
I'm wondering how to threshold the results of end-to-end genre model - In the disambiguation model, since probability is given for the single entity being disambiguated, I'm able to get a good filtering with a single value of confidence, i.e 75% probability (by exponentiating the logprob),
But in the case of the end-to-end model I'm not sure how we should filter by confidence. Would it be sufficient to normalize by the number of entities found? Thanks!
The text was updated successfully, but these errors were encountered: