Tweeted By @chipro

Dynamic word embeddings: instead of using one type of embedding, the model chooses a linear combination of different embeddings (glove, word2vec, fasttext) Outperforms single embedding on SNLI and Sentiment analysishttps://t.co/OJsAOc3gav

— Chip Huyen (@chipro) October 16, 2018