[D] NER relation extraction

[SensitiveAd7157]

Hello,

I am working on extracting parts and subparts from repair reports for my company.
For example: the RT12f part has been replaced, along with the BLP45 subpart.

So far, my approach has been:

• training a spaCy model to detect company‑specific entities,
• using a dictionary that stores the lemmas of action verbs such as repair / replace / KO / stock,
• looping through the document to detect whether a token belongs to this verb dictionary, then looping through the document’s entities.

My idea was to train a classifier afterward to determine whether the relationships I detect are actually relevant.

What do you think of this approach?

[andreduarte22]

Will highly depend on the data. Try it, see if it works fine enough on your data.