This archive contains 5 types of vectors for McRae words
/mcrae-attr.pkl (PROPNORM in paper)
	Property norm semantic space, extracted from the McRae norms 
/mcrae-distrib.pkl (DISTRIB in paper)
	10K-dimensional count-based distributional semantic space, where the contexts are the top 10K most frequent lemmatised words (excluding stopwords) from the October 2013 Wikipedia dump. We use raw frequency counts with context windows being defined as sentence boundaries. 
/mcrae-embed.pkl (EMBED in paper)
	Mikolov pre-trained publicly available embeddings
/mcrae-svd.pkl (SVD in paper)
	a 300-dimensional SVD-reduced version of DISTRIB where PPMI has been applied to	the raw counts
/mcrae-visual.pkl (VISUAL in paper)
	pre-softmax layer from a forward pass in a convolutional neural network that has been trained on the ImageNet classification task using Caffe
