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:
- GitHub - sujitpal/ner-re-with-transformers-odsc2022: Building NER and RE components using HuggingFace Transformers
- SPACY v3: Custom trainable relation extraction component - YouTube
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!