An In-Depth Tutorial on the F-Score For NER

Along with efficient implementations for inference

Edited photo. Original thanks to Annie Spratt from Unsplash.

The F-Score is a very useful metric for classification algorithms, balancing between False Positives (through Precision) and False Negatives (through Recall). However, while its implementation in classic classification tasks is relatively straightforward, it is far more involved in Named Entity Recognition…