Word Distance between Word Embeddings

Edward Ma
Towards Data Science
5 min readAug 25, 2018

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Photo by Rob Bates on Unsplash

Word Mover’s Distance (WMD) is proposed fro distance measurement between 2 documents (or sentences). It leverages Word Embeddings power to overcome those basic distance measurement limitations.

WMD[1] was introduced by Kusner et al. in 2015. Instead of using Euclidean Distance and other bag-of-words based distance measurement, they proposed to use word embeddings to calculate the similarities. To…

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