First, we generated questions for 10,000 nouns randomly sampled from the nouns that most frequently appear in the -de position in the TSUB-AKI corpus (Shinzato et al., 2008) of 600 million web pages.
we used 300-dimensional word embedding vectors pre-trained with wikipedia articles using Skip-gram with a negative-sampling algorithm (Mikolov et al., 2013).