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@ -186,14 +186,15 @@ the character indices don't map to a valid span.
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> assert span.text == "New York"
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> ```
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| Name | Description |
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| ----------- | ----------------------------------------------------------------------------------------- |
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| `start` | The index of the first character of the span. ~~int~~ |
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| `end` | The index of the last character after the span. ~~int~~ |
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| `label` | A label to attach to the span, e.g. for named entities. ~~Union[int, str]~~ |
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| `kb_id` | An ID from a knowledge base to capture the meaning of a named entity. ~~Union[int, str]~~ |
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| `vector` | A meaning representation of the span. ~~numpy.ndarray[ndim=1, dtype=float32]~~ |
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| **RETURNS** | The newly constructed object or `None`. ~~Optional[Span]~~ |
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| Name | Description |
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| ----------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `start` | The index of the first character of the span. ~~int~~ |
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| `end` | The index of the last character after the span. ~~int~~ |
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| `label` | A label to attach to the span, e.g. for named entities. ~~Union[int, str]~~ |
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| `kb_id` | An ID from a knowledge base to capture the meaning of a named entity. ~~Union[int, str]~~ |
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| `vector` | A meaning representation of the span. ~~numpy.ndarray[ndim=1, dtype=float32]~~ |
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| `alignment_mode` <Tag variant="new">3.5.1</Tag> | How character indices snap to token boundaries. Options: `"strict"` (no snapping), `"contract"` (span of all tokens completely within the character span), `"expand"` (span of all tokens at least partially covered by the character span). Defaults to `"strict"`. ~~str~~ |
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| **RETURNS** | The newly constructed object or `None`. ~~Optional[Span]~~ |
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## Span.similarity {id="similarity",tag="method",model="vectors"}
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