Prediction or probability score for prediction results using ner model developed by ner.teach

[ines (Ines Montani)]

It's possible, but it's a bit more involved in the current version of spaCy. See these threads for details and background:

Accessing probabilities in NER

I assume that when spaCy runs NER on a document it generates a list of tokens (or token combinations, e.g. ‘United Kingdom’) from that document with a probability score / confidence level that the token is an entity of a given type. I imagine that if the probability score is above a certain threshold then it is marked as an entity of that type and flagged for the user to see, otherwise it remains submerged in a sea of unflagged variables that spaCy helpfully keeps from the user to avoid confusio…

Displaying a confidence score next to a user-defined entity

Hi, I came accross one of your posts for generating scores for the entities using beam. I had a couple of questions regarding this topic: It gives me a “sum of the scores of the parses containing it” based score for named entities defined by out-of-the-box spacy model such as “LOC”, “PER” etc. I build a prodigy model to identity labels such as “LOCATION” which shows a field name in some location. My question is when I run the beam code, what exactly do 103,345,1109 mean? Is it a sum-of-score…