mirror of https://github.com/explosion/spaCy.git
Merge branch 'master' into develop
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commit
a0017e4909
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@ -18,9 +18,9 @@ _languages = ['bn', 'da', 'de', 'en', 'es', 'fi', 'fr', 'ga', 'he', 'hu', 'id',
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'it', 'nb', 'nl', 'pl', 'pt', 'ro', 'ru', 'sv', 'tr', 'ar', 'xx']
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_models = {'en': ['en_core_web_sm'],
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'de': ['de_core_news_md'],
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'de': ['de_core_news_sm'],
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'fr': ['fr_core_news_sm'],
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'xx': ['xx_ent_web_md'],
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'xx': ['xx_ent_web_sm'],
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'en_core_web_md': ['en_core_web_md'],
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'es_core_news_md': ['es_core_news_md']}
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@ -872,8 +872,37 @@
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},
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"category": ["standalone"],
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"tags": [ "question-answering", "elasticsearch"]
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},
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{
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"id": "self-attentive-parser",
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"title": "Berkeley Neural Parser",
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"slogan": "Constituency Parsing with a Self-Attentive Encoder (ACL 2018)",
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"description": "A Python implementation of the parsers described in *\"Constituency Parsing with a Self-Attentive Encoder\"* from ACL 2018.",
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"url": "https://arxiv.org/abs/1805.01052",
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"github": "nikitakit/self-attentive-parser",
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"pip": "benepar",
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"code_example": [
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"import spacy",
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"from benepar.spacy_plugin import BeneparComponent",
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"",
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"nlp = spacy.load('en')",
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"nlp.add_pipe(BeneparComponent('benepar_en'))",
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"doc = nlp(u'The time for action is now. It's never too late to do something.')",
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"sent = list(doc.sents)[0]",
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"print(sent._.parse_string)",
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"# (S (NP (NP (DT The) (NN time)) (PP (IN for) (NP (NN action)))) (VP (VBZ is) (ADVP (RB now))) (. .))",
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"print(sent._.labels)",
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"# ('S',)",
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"print(list(sent._.children)[0])",
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"# The time for action"
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],
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"author": "Nikita Kitaev",
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"author_links": {
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"github": "nikitakit",
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"website": " http://kitaev.io"
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},
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"category": ["research", "pipeline"]
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}
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],
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"projectCats": {
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"pipeline": {
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