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Make example consistent with model (closes #4587) [ci skip]

This commit is contained in:
Ines Montani 2019-11-18 12:41:48 +01:00
parent e01a1a237f
commit e8b9cee6fd
1 changed files with 4 additions and 4 deletions
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8
website/docs/usage/linguistic-features.md
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@ -435,22 +435,22 @@ import spacy
from spacy.tokens import Span
nlp = spacy.load("en_core_web_sm")
doc = nlp("FB is hiring a new Vice President of global policy")
doc = nlp("fb is hiring a new vice president of global policy")
ents = [(e.text, e.start_char, e.end_char, e.label_) for e in doc.ents]
print('Before', ents)
# the model didn't recognise "FB" as an entity :(
# the model didn't recognise "fb" as an entity :(
fb_ent = Span(doc, 0, 1, label="ORG") # create a Span for the new entity
doc.ents = list(doc.ents) + [fb_ent]
ents = [(e.text, e.start_char, e.end_char, e.label_) for e in doc.ents]
print('After', ents)
# [('FB', 0, 2, 'ORG')] 🎉
# [('fb', 0, 2, 'ORG')] 🎉
```
Keep in mind that you need to create a `Span` with the start and end index of
the **token**, not the start and end index of the entity in the document. In
this case, "FB" is token `(0, 1)` – but at the document level, the entity will
this case, "fb" is token `(0, 1)` – but at the document level, the entity will
have the start and end indices `(0, 2)`.
#### Setting entity annotations from array {#setting-from-array}