Gaussian Word Embedding with a Wasserstein Distance Loss

Chi Sun, Hang Yan, Xipeng Qiu +1

Compared with word embedding based on point representation, distribution-based word embedding shows more flexibility in expressing uncertainty and therefore embeds richer semantic…