Machine Learning, Deep Learning, Naturallanguageprocessing.
token representations: accepting that the same word means different things in different contexts. The first generation of word embeddings (word2vec, GloVe) were independent of context so “queen” was represented as the same vector regardless of the fact that it means several things. See this great