Word Mover's Embedding: From Word2Vec to Document Embedding (2018)
unsupervised embeddings of sentences of variable length from pre-trained word embeddings (better on short length text). (Builds on the word mover's distance, but using ideas borrowed from kernel methods approximation, gets a representation of sentences, instead of just a distance between them)
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