KB newspaper models for ShiCo

<p>The word2vec models were created from the KB news paper archive collection (a collection of digitised newspaper, created by the National Library of the Netherlands). Each word2vec model is created using newspaper articles published within a 10 year time frame. These models were created using the Gensim word2vec implementation with default parameters: Skip-gram architecture, with hierarchical softmax (no negative sampling), vector dimensionality of 300, window size of 5, and minimum word frequency of 5. Models are saved in binary word2vec format.</p>