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spaCy
@spacy_io
Open-source library for industrial-strength Natural Language Processing in Python. Developed by ๐Ÿ’ฅ ๐Ÿ“– spacy.io ๐Ÿ“˜ course.spacy.io ๐Ÿ“บ spacy.tv
Berlin, Germanyspacy.ioJoined August 2015

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Today we're releasing spaCy v3.0! ๐Ÿ›ธ Transformer-based pipelines for SOTA models โš™๏ธ New training and config system ๐Ÿงฌ Models using any framework ๐Ÿช Manage end-to-end workflows ๐Ÿ”ฅ New and improved APIs, components & more
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Out now: spaCy v3.2.1! ๐Ÿงผ New 'doc_cleaner' component: remove doc.tensor, doc._._trf_data or other temporary attributes to reduce the size of output docs ๐Ÿ”ฌ New Matcher pattern attributes ๐ŸŽ‰ And more improvements and bug fixes! Release notes:
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Out now: spaCy v3.2.1! ๐Ÿงผ New 'doc_cleaner' component: remove doc.tensor, doc._._trf_data or other temporary attributes to reduce the size of output docs ๐Ÿ”ฌ New Matcher pattern attributes ๐ŸŽ‰ And more improvements and bug fixes! Release notes:
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Wow! v3 is a brilliant case study for #python software architecture design. The way they structure "projects" could be an ML build tool in it's own right. The packaging and distribution of models is genius too.
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๐Ÿ“š BookNLP is a natural language processing pipeline that scales to books and other long documents Feature highlight ๐Ÿ‘ธ๐Ÿคด Character name clustering & coref resolution: "Tom", "Tom Sawyer", "Mr. Sawyer", "Thomas Sawyer" all become "TOM_SAWYER"! github.com/booknlp/booknlp
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