Prepare notebook for real-world use-case using the johnsnowlabs library

[luca-martial]

Libraries to create notebooks for:

• johnsnowlabs (either NER or classification)
• Spark NLP (the task that wasn't selected above)

Options:

1. get model from hub, test, augment data, fine-tune or retrain, retest
2. train model, test, augment data, fine-tune or retrain, retest

[luca-martial]

@ArshaanNazir if you find a model that works well in the workflow, please share with @JulesBelveze so he can consider it for task #148

[luca-martial]

@ArshaanNazir notebooks to produce:

test-category-specific

• [x] robustness testing with NLP Test - (use johnsnowlabs)
• [x] fairness testing with NLP Test - (use johnsnowlabs)
• [x] bias testing with NLP Test - (use johnsnowlabs)
• [x] accuracy testing with NLP Test - (use johnsnowlabs)
• [x] representation testing with NLP Test - (use johnsnowlabs)

library-specific

• [x] real-world project workflow with johnsnowlabs
• [x] real-world project workflow with johnsnowlabs custom pipelines
• [x] real-world project workflow with transformers
• [x] real-world project workflow with spacy

[luca-martial]

@alytarik please help Arshaan where needed when you are done with your backlog. You can actually create the table in the website and put google colab badges that all have the same link for now. Then you guys can move on together to finish the notebooks