NER - How to make use of active learning for auto annotation for NER data?

I have huge text data, and I have to learn a lot of entities to label in each text, how can I take use of active learning for labeling the dataset automatically?

How can I ease my work a little bit? I couldn't find proper documentation about it.

no worries! I had found the tutorials on their YouTube channel.

Ah cool, glad the video was helpful! :slightly_smiling_face: The strategy described in the video is also what I would have suggested to get started.

You can also use custom recipes to implement your own semi-automated workflows and decide when to send out an example for annotation and when to skip it. See here for an example: