DIVE

Distributional inclusion vector embedding (DIVE) is a unsupervised method of hypernym discovery via per-word non-negative vector embeddings which preserve the inclusion property of word contexts in a low-dimensional and interpretable space. It can also be viewed as an unsupervised method which compresses sparse bag of words by grouping words into topics and makes the visualization of word co-occurring statistics much more easier.