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Merge branch 'develop' into nightly.spacy.io

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This commit is contained in:
Ines Montani 2020-11-09 12:43:42 +08:00
commit b1b7caa084
6 changed files with 19 additions and 23 deletions
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2
spacy/pipeline/entity_linker.py
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@ -30,7 +30,7 @@ default_model_config = """
pretrained_vectors = null pretrained_vectors = null
width = 96 width = 96
depth = 2 depth = 2
embed_size = 300 embed_size = 2000
window_size = 1 window_size = 1
maxout_pieces = 3 maxout_pieces = 3
subword_features = true subword_features = true

4
spacy/tests/README.md
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@ -109,12 +109,12 @@ Loading the models is expensive and not necessary if you're not actually testing
```python ```python
def test_doc_token_api_strings(en_vocab): def test_doc_token_api_strings(en_vocab):
text = "Give it back! He pleaded." words = ["Give", "it", "back", "!", "He", "pleaded", "."]
pos = ['VERB', 'PRON', 'PART', 'PUNCT', 'PRON', 'VERB', 'PUNCT'] pos = ['VERB', 'PRON', 'PART', 'PUNCT', 'PRON', 'VERB', 'PUNCT']
heads = [0, 0, 0, 0, 5, 5, 5] heads = [0, 0, 0, 0, 5, 5, 5]
deps = ['ROOT', 'dobj', 'prt', 'punct', 'nsubj', 'ROOT', 'punct'] deps = ['ROOT', 'dobj', 'prt', 'punct', 'nsubj', 'ROOT', 'punct']
doc = Doc(en_vocab, [t.text for t in tokens], pos=pos, heads=heads, deps=deps) doc = Doc(en_vocab, words=words, pos=pos, heads=heads, deps=deps)
assert doc[0].text == 'Give' assert doc[0].text == 'Give'
assert doc[0].lower_ == 'give' assert doc[0].lower_ == 'give'
assert doc[0].pos_ == 'VERB' assert doc[0].pos_ == 'VERB'

2
website/docs/api/architectures.md
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@ -663,7 +663,7 @@ into the "real world". This requires 3 main components:
> pretrained_vectors = null > pretrained_vectors = null
> width = 96 > width = 96
> depth = 2 > depth = 2
> embed_size = 300 > embed_size = 2000
> window_size = 1 > window_size = 1
> maxout_pieces = 3 > maxout_pieces = 3
> subword_features = true > subword_features = true

10
website/docs/api/language.md
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@ -787,14 +787,12 @@ doesn't, the pipeline analysis won't catch that.
============================= Pipeline Overview ============================= ============================= Pipeline Overview =============================
# Component Assigns Requires Scores Retokenizes # Component Assigns Requires Scores Retokenizes
- ------------- --------------- -------------- --------- ----------- - ------------- --------------- -------------- ----------- -----------
0 tagger token.tag tag_acc False 0 tagger token.tag tag_acc False
pos_acc
lemma_acc
1 entity_linker token.ent_kb_id doc.ents False 1 entity_linker token.ent_kb_id doc.ents nel_micro_f False
doc.sents doc.sents nel_micro_r
token.ent_iob token.ent_iob nel_micro_p
token.ent_type token.ent_type

6
website/docs/usage/linguistic-features.md
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@ -54,9 +54,9 @@ create a surface form. Here are some examples:
| I don't watch the news, I read the paper | read | read | `VERB` | `VerbForm=Fin`, `Mood=Ind`, `Tense=Pres` | | I don't watch the news, I read the paper | read | read | `VERB` | `VerbForm=Fin`, `Mood=Ind`, `Tense=Pres` |
| I read the paper yesterday | read | read | `VERB` | `VerbForm=Fin`, `Mood=Ind`, `Tense=Past` | | I read the paper yesterday | read | read | `VERB` | `VerbForm=Fin`, `Mood=Ind`, `Tense=Past` |
Morphological features are stored in the [`MorphAnalysis`](/api/morphanalysis) Morphological features are stored in the
under `Token.morph`, which allows you to access individual morphological [`MorphAnalysis`](/api/morphology#morphanalysis) under `Token.morph`, which
features. allows you to access individual morphological features.
> #### 📝 Things to try > #### 📝 Things to try
> >

10
website/docs/usage/processing-pipelines.md
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@ -488,14 +488,12 @@ analysis = nlp.analyze_pipes(pretty=True)
============================= Pipeline Overview ============================= ============================= Pipeline Overview =============================
# Component Assigns Requires Scores Retokenizes # Component Assigns Requires Scores Retokenizes
- ------------- --------------- -------------- --------- ----------- - ------------- --------------- -------------- ----------- -----------
0 tagger token.tag tag_acc False 0 tagger token.tag tag_acc False
pos_acc
lemma_acc
1 entity_linker token.ent_kb_id doc.ents False 1 entity_linker token.ent_kb_id doc.ents nel_micro_f False
doc.sents doc.sents nel_micro_r
token.ent_iob token.ent_iob nel_micro_p
token.ent_type token.ent_type