As overlap and incongruity are difficult to measure directly, one common approach is instead to use word embeddings, such as Word2Vec (Mikolov et al., 2013) , to calculate the cosine similarities between pairs of vectors representing words in a document <cite>(Yang et al., 2015</cite>; Shahaf et al., 2015; Kukovačec et al., 2017) .