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Merge pull request #8665 from rynoV/patch-1 [ci skip]

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Ines Montani 2021-07-10 10:52:15 +10:00 committed by GitHub
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website/docs/usage/rule-based-matching.md
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@ -63,7 +63,7 @@ another token that's at least 10 characters long.
spaCy features a rule-matching engine, the [`Matcher`](/api/matcher), that
operates over tokens, similar to regular expressions. The rules can refer to
token annotations (e.g. the token `text` or `tag_`, and flags (e.g. `IS_PUNCT`).
token annotations (e.g. the token `text` or `tag_`, and flags like `IS_PUNCT`).
The rule matcher also lets you pass in a custom callback to act on matches – for
example, to merge entities and apply custom labels. You can also associate
patterns with entity IDs, to allow some basic entity linking or disambiguation.
@ -1552,7 +1552,7 @@ doc = nlp("Dr. Alex Smith chaired first board meeting of Acme Corp Inc.")
print([(ent.text, ent.label_) for ent in doc.ents])
```
An alternative approach would be to an
An alternative approach would be to use an
[extension attribute](/usage/processing-pipelines/#custom-components-attributes)
like `._.person_title` and add it to `Span` objects (which includes entity spans
in `doc.ents`). The advantage here is that the entity text stays intact and can