From 86d7e151e9afde75f49623b6000108f57cf4eb49 Mon Sep 17 00:00:00 2001 From: Matthew Honnibal Date: Mon, 26 Jan 2015 05:10:04 +1100 Subject: [PATCH] * Explain acronym --- docs/source/index.rst | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/source/index.rst b/docs/source/index.rst index 7d87eafc1..bc56581a4 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -8,7 +8,8 @@ spaCy: Industrial-strength NLP ============================== `spaCy`_ is a new library for text processing in Python and Cython. -I wrote it because I think small companies are terrible at NLP. Or rather: +I wrote it because I think small companies are terrible at +natural language processing (NLP). Or rather: small companies are using terrible NLP technology. .. _spaCy: https://github.com/honnibal/spaCy/ @@ -311,6 +312,7 @@ on the standard evaluation from the Wall Street Journal, given gold-standard sentence boundaries and tokenization. I'm in the process of completing a more realistic evaluation on web text. + spaCy's parser offers a better speed/accuracy trade-off than any published system: its accuracy is within 1% of the current state-of-the-art, and it's seven times faster than the 2014 CoreNLP neural network parser, which is the