Wojood is a corpus for Arabic nested Named Entity Recognition (NER). Nested entities occur when one entity mention is embedded inside another entity mention. 550K tokens (MSA and dialect) This repo contains the source-code to train Wojood nested NER.

Online Demo You can try our model using the demo link below

https://sina.birzeit.edu/wojood/

https://arxiv.org/abs/2205.09651

https://huggingface.co/aubmindlab/bert-base-arabertv2/tree/main

Models

Nested NER (main branch), with micro-F1 score of 0.909551
Flat NER (flat branch), with micro-F1 score 0.883847

Google Colab Notebooks

You can test our model using our Google Colab notebooks

Train flat NER: https://gist.github.com/mohammedkhalilia/72c3261734d7715094089bdf4de74b4a
Evaluate your model using flat NER model: https://gist.github.com/mohammedkhalilia/c807eb1ccb15416b187c32a362001665
Train nested NER: https://gist.github.com/mohammedkhalilia/a4d83d4e43682d1efcdf299d41beb3da
Evaluate your data using nested NER model: https://gist.github.com/mohammedkhalilia/9134510aa2684464f57de7934c97138b

SinaLab/ArabicNER-Wojood

Wojood - Nested/Flat Arabic NER Models

Models

Google Colab Notebooks

SinaLab/
ArabicNER-Wojood