An issue of G-LDA is that the word weights in Gaussian topics are measured by the Euclidean similarity between word embeddings.
the Euclidean similarity is not an optimal semantic measure, since most of word embedding algorithms use exponentiated cosine similarity as the link function (Li et al., 2016a).