These older word embedding models (word2vec, GloVe, LexVec, fastText) are being superseded by contextual embeddings ( https://allennlp.org/elmo https://allennlp

These older word embedding models (word2vec, GloVe, LexVec, fastText) are being superseded by contextual embeddings ( https://allennlp.org/elmo https://allennlp.org/elmo ) and fine-tuned language models ( https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html https://ai.googleblog.com/2018/11/open-sourcing-bert-state-o... ). These contextual models can infer that "bank" in "I spent two hours at the bank trying to get a loan" is very different from "The ocean bank is where most fish species proliferate."