HooshvareLab/bert-fa-base-uncased-ner-arman

We reconstructed the vocabulary and fine-tuned the ParsBERT v1.1 on the new Persian corpora . The task aims to extract named entities in the text, such as names and labels with appropriate NER classes such as locations, organizations, etc. The datasets used for this task contain sentences that are marked with IOB format . In this format, tokens that are not part of an entity are tagged as ”O” The ”B”tag corresponds to the first word of an object, and the ”I” tag is followed by a hyphen (or underscore), followed by the entity category . There are two primary datasets used in Persian NER,