Parameter Free Hierarchical Graph-Based Clustering for Analyzing Continuous Word Embeddings

WS 2017 Thomas Alex TrosterDietrich Klakow

Word embeddings are high-dimensional vector representations of words and are thus difficult to interpret. In order to deal with this, we introduce an unsupervised parameter free method for creating a hierarchical graphical clustering of the full ensemble of word vectors and show that this structure is a geometrically meaningful representation of the original relations between the words... (read more)

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