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* Explain acronym
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@ -8,7 +8,8 @@ spaCy: Industrial-strength NLP
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`spaCy`_ is a new library for text processing in Python and Cython.
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`spaCy`_ is a new library for text processing in Python and Cython.
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I wrote it because I think small companies are terrible at NLP. Or rather:
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I wrote it because I think small companies are terrible at
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natural language processing (NLP). Or rather:
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small companies are using terrible NLP technology.
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small companies are using terrible NLP technology.
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.. _spaCy: https://github.com/honnibal/spaCy/
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.. _spaCy: https://github.com/honnibal/spaCy/
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@ -311,6 +312,7 @@ on the standard evaluation from the Wall Street Journal, given gold-standard
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sentence boundaries and tokenization. I'm in the process of completing a more
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sentence boundaries and tokenization. I'm in the process of completing a more
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realistic evaluation on web text.
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realistic evaluation on web text.
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spaCy's parser offers a better speed/accuracy trade-off than any published
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spaCy's parser offers a better speed/accuracy trade-off than any published
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system: its accuracy is within 1% of the current state-of-the-art, and it's
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system: its accuracy is within 1% of the current state-of-the-art, and it's
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seven times faster than the 2014 CoreNLP neural network parser, which is the
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seven times faster than the 2014 CoreNLP neural network parser, which is the
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