How can I get the entity position found by NER within spacy?
From the following example:
doc = nlp('Rami Eid is studying at Stony Brook University in New York')
print(list([(ent for ent in doc.ents])
it results:
['Rami Eid','Stony Brook University','New York']
but I need the position of each entity within the sentence, so that I can know which tokens belong to the respective entity.
If I need to search from these results, I may have some cases where single word entities match multiple words of other entities.
An entity is an object of the spacy.Span class, meaning it inherits methods such as start, end etc.
>>> doc = nlp('Rami Eid is studying at Stony Brook University in New York')
>>> [(e.start, e.end) for e in doc.ents]
[(0, 2), (5, 8), (9, 11)]