metadata
license: mit
datasets:
- Wojood
tags:
- Named Entity Recognition
- Arabic NER
- Nested NER
language:
- ar
metrics:
- f1
- precision
- recall
library_name: http://github.com/SinaLab/ArabicNER
pipeline_tag: token-classification
Wojood - Nested/Flat Arabic NER Models
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
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