complete entity extraction from unstructured data
I understand there are many techniques/libraries/packages to extract named entities like people, places etc. from data.
Personally, for me an entity is something like:
first name: john
surname: smith
dob: 1/1/2000
shoesize: 6
address: ...
etc.
So an entity is a class having fields, to use object orientated terminology.
One would expect that these fields/attributes would occur close in a unstructured data (closeness could be defined by word distance). Are there techniques to extract, what I would call, complete entities? Of course this would no be too accurate but anything would be better than nothing. I did a few google searches without success.
Topic entity-linking named-entity-recognition nlp
Category Data Science