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Marcus Blättermann 2022-11-17 18:50:52 +01:00
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@ -256,7 +256,7 @@ shape `(N, M)`, where `N` is the length of the document. The values will be
| `attr_ids` | A list of attributes (int IDs or string names) or a single attribute (int ID or string name). ~~Union[int, str, List[Union[int, str]]]~~ | | `attr_ids` | A list of attributes (int IDs or string names) or a single attribute (int ID or string name). ~~Union[int, str, List[Union[int, str]]]~~ |
| **RETURNS** | The exported attributes as a numpy array. ~~Union[numpy.ndarray[ndim=2, dtype=uint64], numpy.ndarray[ndim=1, dtype=uint64]]~~ | | **RETURNS** | The exported attributes as a numpy array. ~~Union[numpy.ndarray[ndim=2, dtype=uint64], numpy.ndarray[ndim=1, dtype=uint64]]~~ |
## Span.ents {id="ents",tag="property" version="2.0.13",model="ner"} ## Span.ents {id="ents",tag="property",version="2.0.13",model="ner"}
The named entities that fall completely within the span. Returns a tuple of The named entities that fall completely within the span. Returns a tuple of
`Span` objects. `Span` objects.
@ -520,7 +520,7 @@ sent = doc[sent.start : max(sent.end, span.end)]
| ----------- | ------------------------------------------------------- | | ----------- | ------------------------------------------------------- |
| **RETURNS** | The sentence span that this span is a part of. ~~Span~~ | | **RETURNS** | The sentence span that this span is a part of. ~~Span~~ |
## Span.sents {id="sents",tag="property" model="sentences",version="3.2.1"} ## Span.sents {id="sents",tag="property",model="sentences",version="3.2.1"}
Returns a generator over the sentences the span belongs to. This property is Returns a generator over the sentences the span belongs to. This property is
only available when [sentence boundaries](/usage/linguistic-features#sbd) have only available when [sentence boundaries](/usage/linguistic-features#sbd) have