I observed two groups of scores while training named entity recognizer in order to recognize Last Name and First Name in one entity from resume.
Group 1 consist of high scores for correct predictions
Examples:
My interpretation: The high scores mean that the entity recognizer was able to learn from suffficient amount of named entities in such context. I mean that the entity recognizer is familiar enough with context from the above examples.
Group 2 consist of low scores for correct predictions
Examples:
My interpretation: The low scores mean that the entity recognizer was not able to learn from suffficient amount of named entities in such context. I mean that the entity recognizer is not familiar enough with context from the above examples. So I need to show the model more entities in such context in order to increase scores and to make the model more curtain about entities in such context.
Question: Are my interpretations correct?