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added dacy to universe

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Kenneth Enevoldsen 2021-07-13 09:54:08 +02:00 committed by GitHub
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website/meta/universe.json
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@ -888,6 +888,31 @@
"category": ["pipeline"],
"tags": ["lemmatizer", "danish"]
},
{
"id": "dacy",
"title": "DaCy",
"slogan": "An efficient Pipeline for Danish NLP",
"description": "DaCy is a Danish preprocessing pipeline trained in SpaCy. It has achieved State-of-the-Art performance on Named entity recognition, part-of-speech tagging and dependency parsing for Danish. This repository contains material for using the DaCy, reproducing the results and guides on usage of the package. Furthermore, it also contains a series of behavioural test for biases and robustness of Danish NLP pipelines.",
"github": "centre-for-humanities-computing/DaCy",
"pip": "dacy",
"code_example": [
"import dacy",
"dacy.models() # get a list of dacy models",
"nlp = dacy.load('medium') # load your spacy pipeline",
"",
"# DaCy also includes functionality for adding other Danish models to the pipeline",
"# For instance you can add the BertTone model for classification of sentiment polarity to the pipeline:"
"nlp = add_berttone_polarity(nlp)",
],
"thumb": "https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png",
"author": "Centre for Humanities Computing Aarhus",
"author_links": {
"github": "https://github.com/centre-for-humanities-computing"
"website": "https://chcaa.io/#/"
},
"category": ["pipeline"],
"tags": ["pipeline", "danish"]
},
{
"id": "wmd-relax",
"slogan": "Calculates word mover's distance insanely fast",