Add new models for NER information extraction

[eriknovak]

Connected to a problem?

The current NER information extraction focuses on using the GLiNER model, specifically urchade/gliner_multi_pii-v1. While this model does support some different languages, we would need models that would cover a more extensive list of languages. Furthermore, the NER model should support various domains as well.

Solution?

Find NER datasets or create synthetic datasets that support different languages and domains. For this, we could use the scripts provided by the GLiNER package and publish the trained models on the huggingface hub.

An additional bonus would be to evaluate these models in different languages and domains. However, this could be difficult due to the lack of open datasets for these use cases.

Alternatives?

No response