What should we improve? What are your use cases?
Hi there! It is great to see that our model is being used :) We would love to get some feedback on how everyone is using it, if it is helpful compared to other models, and what we should improve for the next version. Cheers!
I haven't used the model yet. I read your blog post, I benefited very well, thank you.
https://www.numind.ai/blog/a-foundation-model-for-entity-recognition
Thank you for the great work. Do you have an example of code where this model was use for tasks like NER or QA ?
Thank you for the great work. Do you have an example of code where this model was use for tasks like NER or QA ?
Yes +1 for NER code example
Hello
@etiennebcp
, thank you for open sourcing this model.
I have read your blog post carefully, and wanted to thank you for the explainations and the great work.
Just to be sure I understood correctly the approach, in order to use it in a NER settings (inference) we also need the concept embedding model, right?
Concerning use cases, we have a use case for custom and specific information extraction from news and companies websites content (e.g extracting whether a company has a facility, extracting different types of niche technologies). I think this approach could be useful because each of our client project requires a specific ontology and efficient fine tuning and F1 are very important.
Thanks everyone for your feedback! To give a overall answer:
- This model is only for NER, not QA
- This model cannot be used in a zero-shot way. It has to be trained on some annotated NER examples to be customized to a particular NER problem.
- The concept encoder is only there to train the original model (that we now call NuNER). You do not need the concept encoder to use NuNER.
- The simplest way to use this model is to add a linear layer after the text embeddings to be compatible for a specific NER problem. Then you need to either train this linear layer by itself (equivalent to a logistic regression on top of the embeddings), or fine-tune the entire network.
We are going to release a collab notebook that you will be able to use and train NuNER
Also, you can directly use our tool NuMind to annotate and train automatically :)
Hi, its been a while since this conversation took place. Also I found this model to be really good, I'd love to know if the colab notebook is published yet or not.
Many thanks for the awesome model.