From 967412fb85d502d159dc9555f3b86c63c99deb20 Mon Sep 17 00:00:00 2001 From: Matthew Honnibal Date: Tue, 1 Nov 2016 13:22:36 +1100 Subject: [PATCH] Minor edit --- examples/keras_parikh_entailment/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/keras_parikh_entailment/README.md b/examples/keras_parikh_entailment/README.md index c8075ca55..e71eebd7c 100644 --- a/examples/keras_parikh_entailment/README.md +++ b/examples/keras_parikh_entailment/README.md @@ -8,7 +8,7 @@ by [Parikh et al. (2016)](https://arxiv.org/pdf/1606.01933.pdf). The model is no for its competitive performance with very few parameters. The model is implemented using [Keras](https://keras.io/) and [spaCy](https://spacy.io). -Keras is used to build and train the network, while spaCy is used to load +Keras is used to build and train the network. spaCy is used to load the [GloVe](http://nlp.stanford.edu/projects/glove/) vectors, perform the feature extraction, and help you apply the model at run-time. The following demo code shows how the entailment model can be used at runtime, once the