Implementation of NER model with relationship extraction?

Intermediate
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I am working with transactional data, and am thinking of training my own NER model on self labelled data (originator, receiver, financial institution etc)… It makes a lot of sense to also capture relationships at the same time, to further model the transaction from the description. I have found two great resources on this so far:

Are there any other examples/tutorials/resources on this? Also I’m thinking that my entities naturally imply relationship (payer, payee, originating financial institution etc), so maybe it wouldn’t add that much to encode it?

Anyway, any input/thoughts are appreciated!

Thanks

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Hello Maximus,

Did you find a solution to your problem?

I have found the same ressources as you and I decided to move forward with the first one as for Spacy is needed to buy Prodigy. Otherwise it’s seems impossible for me to get the data to the right format.
I currently use doccano for annotating net and re.
However, I have difficulty to make inference with the first solution for RE
Also to link NER and RE
Any advice is welcome.

Best

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@evangeliazve I am facing the very same issue with the first solution from sujitpal with transformers and huggingface.

Did you find a solution to make inference with RE with his approach?