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Fixing links to SyntaxNet

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Ondrej Kokes 2017-10-04 12:55:07 +02:00 committed by GitHub
parent eb72eae258
commit a9362f1c73
1 changed files with 3 additions and 3 deletions
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website/docs/api/index.jade
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@ -6,7 +6,7 @@ include ../../_includes/_mixins
p p
| Here's a quick comparison of the functionalities offered by spaCy, | Here's a quick comparison of the functionalities offered by spaCy,
| #[+a("https://github.com/tensorflow/models/tree/master/syntaxnet") SyntaxNet], | #[+a("https://github.com/tensorflow/models/tree/master/research/syntaxnet") SyntaxNet],
| #[+a("http://www.nltk.org/py-modindex.html") NLTK] and | #[+a("http://www.nltk.org/py-modindex.html") NLTK] and
| #[+a("http://stanfordnlp.github.io/CoreNLP/") CoreNLP]. | #[+a("http://stanfordnlp.github.io/CoreNLP/") CoreNLP].
@ -107,7 +107,7 @@ p
p p
| In 2016, Google released their | In 2016, Google released their
| #[+a("https://github.com/tensorflow/models/tree/master/syntaxnet") SyntaxNet] | #[+a("https://github.com/tensorflow/models/tree/master/research/syntaxnet") SyntaxNet]
| library, setting a new state of the art for syntactic dependency parsing | library, setting a new state of the art for syntactic dependency parsing
| accuracy. SyntaxNet's algorithm is very similar to spaCy's. The main | accuracy. SyntaxNet's algorithm is very similar to spaCy's. The main
| difference is that SyntaxNet uses a neural network while spaCy uses a | difference is that SyntaxNet uses a neural network while spaCy uses a
@ -129,7 +129,7 @@ p
+cell=data +cell=data
+row +row
+cell #[+a("https://github.com/tensorflow/models/tree/master/syntaxnet") Parsey McParseface] +cell #[+a("https://github.com/tensorflow/models/tree/master/research/syntaxnet") Parsey McParseface]
each data in [ 94.15, 89.08, 94.77 ] each data in [ 94.15, 89.08, 94.77 ]
+cell=data +cell=data