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Update NER workflow with new displaCy
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@ -105,17 +105,36 @@ p
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| consistent state.
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| consistent state.
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+h(2, "displacy") The displaCy #[sup ENT] visualizer
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+h(2, "displacy") Visualizing named entities
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p
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p
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| The #[+a(DEMOS_URL + "/displacy-ent/") displaCy #[sup ENT] visualizer]
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| The #[+a(DEMOS_URL + "/displacy-ent/") displaCy #[sup ENT] visualizer]
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| lets you explore an entity recognition model's behaviour interactively.
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| lets you explore an entity recognition model's behaviour interactively.
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| If you're training a model, it's very useful to run the visualization
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| If you're training a model, it's very useful to run the visualization
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| server yourself. To help you do that, we've open-sourced both the
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| yourself. To help you do that, spaCy v2.0+ comes with a visualization
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| #[+a(gh("spacy-services")) back-end service] and the
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| module. Simply pass a #[code Doc] or a list of #[code Doc] objects to
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| #[+a(gh("displacy-ent")) front-end client].
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| displaCy and run #[+api("displacy#serve") #[code displacy.serve]] to
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| run the web server, or #[+api("displacy#render") #[code displacy.render]]
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| to generate the raw markup.
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+codepen("ALxpQO", 450)
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p
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| For more details and examples, see the
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| #[+a("/docs/usage/visualizers") usage workflow on visualizing spaCy].
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+code("Named Entity example").
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import spacy
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from spacy import displacy
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text = """But Google is starting from behind. The company made a late push
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into hardware, and Apple’s Siri, available on iPhones, and Amazon’s Alexa
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software, which runs on its Echo and Dot devices, have clear leads in
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consumer adoption."""
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nlp = spacy.load('custom_ner_model')
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doc = nlp(text)
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displacy.serve(doc, style='ent')
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+codepen("a73f8b68f9af3157855962b283b364e4", 345)
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+h(2, "entity-types") Built-in entity types
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+h(2, "entity-types") Built-in entity types
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