mirror of https://github.com/explosion/spaCy.git
Fix typos and auto-format [ci skip]
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Ines Montani
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@ -12,18 +12,18 @@ expects true examples of a label to have the value `1.0`, and negative examples
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of a label to have the value `0.0`. Labels not in the dictionary are treated as
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missing – the gradient for those labels will be zero.
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| Name | Type | Description |
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| ----------- | ----------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `doc` | `Doc` | The document the annotations refer to. |
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| `words` | iterable | A sequence of unicode word strings. |
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| `tags` | iterable | A sequence of strings, representing tag annotations. |
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| `heads` | iterable | A sequence of integers, representing syntactic head offsets. |
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| `deps` | iterable | A sequence of strings, representing the syntactic relation types. |
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| `entities` | iterable | A sequence of named entity annotations, either as BILUO tag strings, or as `(start_char, end_char, label)` tuples, representing the entity positions. If BILUO tag strings, you can specify missing values by setting the tag to None. |
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| `cats` | dict | Labels for text classification. Each key in the dictionary is a string label for the category and each value is `1.0` (positive) or `0.0` (negative). |
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| `links` | dict | Labels for entity linking. A dict with `(start_char, end_char)` keys, and the values being dicts with `kb_id:value` entries, representing external KB IDs mapped to either `1.0` (positive) or `0.0` (negative). |
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| `make_projective` | bool | Whether to projectivize the dependency tree. Defaults to `False.`. |
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| **RETURNS** | `GoldParse` | The newly constructed object. |
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| Name | Type | Description |
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| ----------------- | ----------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `doc` | `Doc` | The document the annotations refer to. |
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| `words` | iterable | A sequence of unicode word strings. |
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| `tags` | iterable | A sequence of strings, representing tag annotations. |
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| `heads` | iterable | A sequence of integers, representing syntactic head offsets. |
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| `deps` | iterable | A sequence of strings, representing the syntactic relation types. |
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| `entities` | iterable | A sequence of named entity annotations, either as BILUO tag strings, or as `(start_char, end_char, label)` tuples, representing the entity positions. If BILUO tag strings, you can specify missing values by setting the tag to None. |
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| `cats` | dict | Labels for text classification. Each key in the dictionary is a string label for the category and each value is `1.0` (positive) or `0.0` (negative). |
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| `links` | dict | Labels for entity linking. A dict with `(start_char, end_char)` keys, and the values being dicts with `kb_id:value` entries, representing external KB IDs mapped to either `1.0` (positive) or `0.0` (negative). |
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| `make_projective` | bool | Whether to projectivize the dependency tree. Defaults to `False`. |
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| **RETURNS** | `GoldParse` | The newly constructed object. |
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## GoldParse.\_\_len\_\_ {#len tag="method"}
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@ -43,17 +43,17 @@ Whether the provided syntactic annotations form a projective dependency tree.
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## Attributes {#attributes}
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| Name | Type | Description |
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| ------------------------------------ | ---- | -------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `words` | list | The words. |
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| `tags` | list | The part-of-speech tag annotations. |
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| `heads` | list | The syntactic head annotations. |
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| `labels` | list | The syntactic relation-type annotations. |
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| `ner` | list | The named entity annotations as BILUO tags. |
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| `cand_to_gold` | list | The alignment from candidate tokenization to gold tokenization. |
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| `gold_to_cand` | list | The alignment from gold tokenization to candidate tokenization. |
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| `cats` <Tag variant="new">2</Tag> | dict | Keys in the dictionary are string category labels with values `1.0` or `0.0`. |
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| `links` <Tag variant="new">2.2</Tag> | dict | Keys in the dictionary are `(start_char, end_char)` triples, and the values are dictionaries with `kb_id:value` entries. |
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| Name | Type | Description |
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| ------------------------------------ | ---- | ------------------------------------------------------------------------------------------------------------------------ |
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| `words` | list | The words. |
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| `tags` | list | The part-of-speech tag annotations. |
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| `heads` | list | The syntactic head annotations. |
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| `labels` | list | The syntactic relation-type annotations. |
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| `ner` | list | The named entity annotations as BILUO tags. |
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| `cand_to_gold` | list | The alignment from candidate tokenization to gold tokenization. |
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| `gold_to_cand` | list | The alignment from gold tokenization to candidate tokenization. |
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| `cats` <Tag variant="new">2</Tag> | dict | Keys in the dictionary are string category labels with values `1.0` or `0.0`. |
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| `links` <Tag variant="new">2.2</Tag> | dict | Keys in the dictionary are `(start_char, end_char)` triples, and the values are dictionaries with `kb_id:value` entries. |
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## Utilities {#util}
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@ -61,7 +61,8 @@ Whether the provided syntactic annotations form a projective dependency tree.
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Convert a list of Doc objects into the
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[JSON-serializable format](/api/annotation#json-input) used by the
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[`spacy train`](/api/cli#train) command. Each input doc will be treated as a 'paragraph' in the output doc.
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[`spacy train`](/api/cli#train) command. Each input doc will be treated as a
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'paragraph' in the output doc.
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> #### Example
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>
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@ -57,7 +57,7 @@ spaCy v2.3, the `Matcher` can also be called on `Span` objects.
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| Name | Type | Description |
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| ----------- | ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `doclike` | `Doc`/`Span` | The document to match over or a `Span` (as of v2.3).. |
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| `doclike` | `Doc`/`Span` | The document to match over or a `Span` (as of v2.3). |
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| **RETURNS** | list | A list of `(match_id, start, end)` tuples, describing the matches. A match tuple describes a span `doc[start:end`]. The `match_id` is the ID of the added match pattern. |
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<Infobox title="Important note" variant="warning">
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